estimation of stature from extremities



Molina Isabel Small Area Estimation Molina Isabel Small Area Estimation Новинка

Molina Isabel Small Area Estimation

8158.01 руб.
Praise for the First Edition «This pioneering work, in which Rao provides a comprehensive and up-to-date treatment of small area estimation, will become a classic…I believe that it has the potential to turn small area estimation…into a larger area of importance to both researchers and practitioners.» —Journal of the American Statistical Association Written by two experts in the field, Small Area Estimation, Second Edition provides a comprehensive and up-to-date account of the methods and theory of small area estimation (SAE), particularly indirect estimation based on explicit small area linking models. The model-based approach to small area estimation offers several advantages including increased precision, the derivation of «optimal» estimates and associated measures of variability under an assumed model, and the validation of models from the sample data. Emphasizing real data throughout, the Second Edition maintains a self-contained account of crucial theoretical and methodological developments in the field of SAE. The new edition provides extensive accounts of new and updated research, which often involves complex theory to handle model misspecifications and other complexities. Including information on survey design issues and traditional methods employing indirect estimates based on implicit linking models, Small Area Estimation, Second Edition also features: Additional sections describing the use of R code data sets for readers to use when replicating applications Numerous examples of SAE applications throughout each chapter, including recent applications in U.S. Federal programs New topical coverage on extended design issues, synthetic estimation, further refinements and solutions to the Fay-Herriot area level model, basic unit level models, and spatial and time series models A discussion of the advantages and limitations of various SAE methods for model selection from data as well as comparisons of estimates derived from models to reliable values obtained from external sources, such as previous census or administrative data Small Area Estimation, Second Edition is an excellent reference for practicing statisticians and survey methodologists as well as practitioners interested in learning SAE methods. The Second Edition is also an ideal textbook for graduate-level courses in SAE and reliable small area statistics.
Kevin Murphy D. Modeling and Estimation of Structural Damage Kevin Murphy D. Modeling and Estimation of Structural Damage Новинка

Kevin Murphy D. Modeling and Estimation of Structural Damage

8654.01 руб.
Modelling and Estimation of Damage in Structures is a comprehensiveguide to solving the type of modelling and estimation problems associated with the physics of structural damage. Provides a model-based approach to damage identification Presents an in-depth treatment of probability theory and random processes Covers both theory and algorithms for implementing maximum likelihood and Bayesian estimation approaches Includes experimental examples of all detection and identification approaches Provides a clear means by which acquired data can be used to make decisions regarding maintenance and usage of a structure
David Scott W. Multivariate Density Estimation. Theory, Practice, and Visualization David Scott W. Multivariate Density Estimation. Theory, Practice, and Visualization Новинка

David Scott W. Multivariate Density Estimation. Theory, Practice, and Visualization

8277.72 руб.
Clarifies modern data analysis through nonparametric density estimation for a complete working knowledge of the theory and methods Featuring a thoroughly revised presentation, Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition maintains an intuitive approach to the underlying methodology and supporting theory of density estimation. Including new material and updated research in each chapter, the Second Edition presents additional clarification of theoretical opportunities, new algorithms, and up-to-date coverage of the unique challenges presented in the field of data analysis. The new edition focuses on the various density estimation techniques and methods that can be used in the field of big data. Defining optimal nonparametric estimators, the Second Edition demonstrates the density estimation tools to use when dealing with various multivariate structures in univariate, bivariate, trivariate, and quadrivariate data analysis. Continuing to illustrate the major concepts in the context of the classical histogram, Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition also features: Over 150 updated figures to clarify theoretical results and to show analyses of real data sets An updated presentation of graphic visualization using computer software such as R A clear discussion of selections of important research during the past decade, including mixture estimation, robust parametric modeling algorithms, and clustering More than 130 problems to help readers reinforce the main concepts and ideas presented Boxed theorems and results allowing easy identification of crucial ideas Figures in color in the digital versions of the book A website with related data sets Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition is an ideal reference for theoretical and applied statisticians, practicing engineers, as well as readers interested in the theoretical aspects of nonparametric estimation and the application of these methods to multivariate data. The Second Edition is also useful as a textbook for introductory courses in kernel statistics, smoothing, advanced computational statistics, and general forms of statistical distributions.
Edward R. Dougherty Error Estimation for Pattern Recognition Edward R. Dougherty Error Estimation for Pattern Recognition Новинка

Edward R. Dougherty Error Estimation for Pattern Recognition

9718.01 руб.
This book is the first of its kind to discuss error estimation with a model-based approach. From the basics of classifiers and error estimators to distributional and Bayesian theory, it covers important topics and essential issues pertaining to the scientific validity of pattern classification. Error Estimation for Pattern Recognition focuses on error estimation, which is a broad and poorly understood topic that reaches all research areas using pattern classification. It includes model-based approaches and discussions of newer error estimators such as bolstered and Bayesian estimators. This book was motivated by the application of pattern recognition to high-throughput data with limited replicates, which is a basic problem now appearing in many areas. The first two chapters cover basic issues in classification error estimation, such as definitions, test-set error estimation, and training-set error estimation. The remaining chapters in this book cover results on the performance and representation of training-set error estimators for various pattern classifiers. Additional features of the book include: • The latest results on the accuracy of error estimation • Performance analysis of re-substitution, cross-validation, and bootstrap error estimators using analytical and simulation approaches • Highly interactive computer-based exercises and end-of-chapter problems This is the first book exclusively about error estimation for pattern recognition. Ulisses M. Braga Neto is an Associate Professor in the Department of Electrical and Computer Engineering at Texas A&M University, USA. He received his PhD in Electrical and Computer Engineering from The Johns Hopkins University. Dr. Braga Neto received an NSF CAREER Award for his work on error estimation for pattern recognition with applications in genomic signal processing. He is an IEEE Senior Member. Edward R. Dougherty is a Distinguished Professor, Robert F. Kennedy ’26 Chair, and Scientific Director at the Center for Bioinformatics and Genomic Systems Engineering at Texas A&M University, USA. He is a fellow of both the IEEE and SPIE, and he has received the SPIE Presidents Award. Dr. Dougherty has authored several books including Epistemology of the Cell: A Systems Perspective on Biological Knowledge and Random Processes for Image and Signal Processing (Wiley-IEEE Press).
Gregory Mislick K. Cost Estimation. Methods and Tools Gregory Mislick K. Cost Estimation. Methods and Tools Новинка

Gregory Mislick K. Cost Estimation. Methods and Tools

8277.72 руб.
Presents an accessible approach to the cost estimation tools, concepts, and techniques needed to support analytical and cost decisions Written with an easy-to-understand approach, Cost Estimation: Methods and Tools provides comprehensive coverage of the quantitative techniques needed by professional cost estimators and for those wanting to learn about this vibrant career field. Featuring the underlying mathematical and analytical principles of cost estimation, the book focuses on the tools and methods used to predict the research and development, production, and operating and support costs for successful cost estimation in industrial, business, and manufacturing processes. The book begins with a detailed historical perspective and key terms of the cost estimating field in order to develop the necessary background prior to implementing the presented quantitative methods. The book proceeds to fundamental cost estimation methods utilized in the field of cost estimation, including working with inflation indices, regression analysis, learning curves, analogies, cost factors, and wrap rates. With a step-by-step introduction to the practicality of cost estimation and the available resources for obtaining relevant data, Cost Estimation: Methods and Tools also features: Various cost estimating tools, concepts, and techniques needed to support business decisions Multiple questions at the end of each chapter to help readers obtain a deeper understanding of the discussed methods and techniques An overview of the software used in cost estimation, as well as an introduction to the application of risk and uncertainty analysis A Foreword from Dr. Douglas A. Brook, a professor in the Graduate School of Business and Public Policy at the Naval Postgraduate School, who spent many years working in the Department of Defense acquisition environment Cost Estimation: Methods and Tools is an excellent reference for academics and practitioners in decision science, operations research, operations management, business, and systems and industrial engineering, as well as a useful guide in support of professional cost estimation training and certification courses for practitioners. The book is also appropriate for graduate-level courses in operations research, operations management, engineering economics, and manufacturing and/or production processes.
Didier Dumur Zonotopes. From Guaranteed State-estimation to Control Didier Dumur Zonotopes. From Guaranteed State-estimation to Control Новинка

Didier Dumur Zonotopes. From Guaranteed State-estimation to Control

6550.61 руб.
This title focuses on two significant problems in the field of automatic control, in particular state estimation and robust Model Predictive Control under input and state constraints, bounded disturbances and measurement noises. The authors build upon previous results concerning zonotopic set-membership state estimation and output feedback tube-based Model Predictive Control. Various existing zonotopic set-membership estimation methods are investigated and their advantages and drawbacks are discussed, making this book suitable both for researchers working in automatic control and industrial partners interested in applying the proposed techniques to real systems. The authors proceed to focus on a new method based on the minimization of the P-radius of a zonotope, in order to obtain a good trade-off between the complexity and the accuracy of the estimation. They propose a P-radius based set-membership estimation method to compute a zonotope containing the real states of a system, which are consistent with the disturbances and measurement noise. The problem of output feedback control using a zonotopic set-membership estimation is also explored. Among the approaches from existing literature on the subject, the implementation of robust predictive techniques based on tubes of trajectories is developed. Contents 1. Uncertainty Representation Based on Set Theory. 2. Several Approaches on Zonotopic Guaranteed Set-Membership Estimation. 3. Zonotopic Guaranteed State Estimation Based on P-Radius Minimization. 4. Tube Model Predictive Control Based on Zonotopic Set-Membership Estimation. About the Authors Vu Tuan Hieu Le is a Research Engineer at the IRSEEM/ESIGELEC Technopôle du Madrillet, Saint Etienne du Rouvray, France. Cristina Stoica is Assistant Professor in the Automatic Control Department at SUPELEC Systems Sciences (E3S), France. Teodoro Alamo is Professor in the Department of Systems Engineering and Automatic Control at the University of Seville, Spain. Eduardo F. Camacho is Professor in the Department of Systems Engineering and Automatic Control at the University of Seville, Spain. Didier Dumur is Professor in the Automatic Control Department, SUPELEC Systems Sciences (E3S), France.
Monica Pratesi Analysis of Poverty Data by Small Area Estimation Monica Pratesi Analysis of Poverty Data by Small Area Estimation Новинка

Monica Pratesi Analysis of Poverty Data by Small Area Estimation

6392.17 руб.
A comprehensive guide to implementing SAE methods for poverty studies and poverty mapping There is an increasingly urgent demand for poverty and living conditions data, in relation to local areas and/or subpopulations. Policy makers and stakeholders need indicators and maps of poverty and living conditions in order to formulate and implement policies, (re)distribute resources, and measure the effect of local policy actions. Small Area Estimation (SAE) plays a crucial role in producing statistically sound estimates for poverty mapping. This book offers a comprehensive source of information regarding the use of SAE methods adapted to these distinctive features of poverty data derived from surveys and administrative archives. The book covers the definition of poverty indicators, data collection and integration methods, the impact of sampling design, weighting and variance estimation, the issue of SAE modelling and robustness, the spatio-temporal modelling of poverty, and the SAE of the distribution function of income and inequalities. Examples of data analyses and applications are provided, and the book is supported by a website describing scripts written in SAS or R software, which accompany the majority of the presented methods. Key features: Presents a comprehensive review of SAE methods for poverty mapping Demonstrates the applications of SAE methods using real-life case studies Offers guidance on the use of routines and choice of websites from which to download them Analysis of Poverty Data by Small Area Estimation offers an introduction to advanced techniques from both a practical and a methodological perspective, and will prove an invaluable resource for researchers actively engaged in organizing, managing and conducting studies on poverty.
Daniele Martini De Success Probability Estimation with Applications to Clinical Trials Daniele Martini De Success Probability Estimation with Applications to Clinical Trials Новинка

Daniele Martini De Success Probability Estimation with Applications to Clinical Trials

7119.72 руб.
Provides an introduction to the various statistical techniques involved in medical research and drug development with a focus on estimating the success probability of an experiment Success Probability Estimation with Applications to Clinical Trials details the use of success probability estimation in both the planning and analyzing of clinical trials and in widely used statistical tests. Devoted to both statisticians and non-statisticians who are involved in clinical trials, Part I of the book presents new concepts related to success probability estimation and their usefulness in clinical trials, and each section begins with a non-technical explanation of the presented concepts. Part II delves deeper into the techniques for success probability estimation and features applications to both reproducibility probability estimation and conservative sample size estimation. Success Probability Estimation with Applications to Clinical Trials: • Addresses the theoretical and practical aspects of the topic and introduces new and promising techniques in the statistical and pharmaceutical industries Features practical solutions for problems that are often encountered in clinical trials Includes success probability estimation for widely used statistical tests, such as parametric and nonparametric models Focuses on experimental planning, specifically the sample size of clinical trials using phase II results and data for planning phase III trials Introduces statistical concepts related to success probability estimation and their usefulness in clinical trials Success Probability Estimation with Applications to Clinical Trials is an ideal reference for statisticians and biostatisticians in the pharmaceutical industry as well as researchers and practitioners in medical centers who are actively involved in health policy, clinical research, and the design and evaluation of clinical trials.
Zhiyi Zhang Statistical Implications of Turing's Formula Zhiyi Zhang Statistical Implications of Turing's Formula Новинка

Zhiyi Zhang Statistical Implications of Turing's Formula

8997.52 руб.
Features a broad introduction to recent research on Turing’s formula and presents modern applications in statistics, probability, information theory, and other areas of modern data science Turing's formula is, perhaps, the only known method for estimating the underlying distributional characteristics beyond the range of observed data without making any parametric or semiparametric assumptions. This book presents a clear introduction to Turing’s formula and its connections to statistics. Topics with relevance to a variety of different fields of study are included such as information theory; statistics; probability; computer science inclusive of artificial intelligence and machine learning; big data; biology; ecology; and genetics. The author provides examinations of many core statistical issues within modern data science from Turing's perspective. A systematic approach to long-standing problems such as entropy and mutual information estimation, diversity index estimation, domains of attraction on general alphabets, and tail probability estimation is presented in light of the most up-to-date understanding of Turing's formula. Featuring numerous exercises and examples throughout, the author provides a summary of the known properties of Turing's formula and explains how and when it works well; discusses the approach derived from Turing's formula in order to estimate a variety of quantities, all of which mainly come from information theory, but are also important for machine learning and for ecological applications; and uses Turing's formula to estimate certain heavy-tailed distributions. In summary, this book: • Features a unified and broad presentation of Turing’s formula, including its connections to statistics, probability, information theory, and other areas of modern data science • Provides a presentation on the statistical estimation of information theoretic quantities • Demonstrates the estimation problems of several statistical functions from Turing's perspective such as Simpson's indices, Shannon's entropy, general diversity indices, mutual information, and Kullback–Leibler divergence • Includes numerous exercises and examples throughout with a fundamental perspective on the key results of Turing’s formula Statistical Implications of Turing's Formula is an ideal reference for researchers and practitioners who need a review of the many critical statistical issues of modern data science. This book is also an appropriate learning resource for biologists, ecologists, and geneticists who are involved with the concept of diversity and its estimation and can be used as a textbook for graduate courses in mathematics, probability, statistics, computer science, artificial intelligence, machine learning, big data, and information theory. Zhiyi Zhang, PhD, is Professor of Mathematics and Statistics at The University of North Carolina at Charlotte. He is an active consultant in both industry and government on a wide range of statistical issues, and his current research interests include Turing's formula and its statistical implications; probability and statistics on countable alphabets; nonparametric estimation of entropy and mutual information; tail probability and biodiversity indices; and applications involving extracting statistical information from low-frequency data space. He earned his PhD in Statistics from Rutgers University.
Tulay Adali Blind Identification and Separation of Complex-valued Signals Tulay Adali Blind Identification and Separation of Complex-valued Signals Новинка

Tulay Adali Blind Identification and Separation of Complex-valued Signals

4246.42 руб.
Blind identification consists of estimating a multi-dimensional system only through the use of its output, and source separation, the blind estimation of the inverse of the system. Estimation is generally carried out using different statistics of the output. The authors of this book consider the blind identification and source separation problem in the complex-domain, where the available statistical properties are richer and include non-circularity of the sources – underlying components. They define identifiability conditions and present state-of-the-art algorithms that are based on algebraic methods as well as iterative algorithms based on maximum likelihood theory. Contents 1. Mathematical Preliminaries. 2. Estimation by Joint Diagonalization. 3. Maximum Likelihood ICA. About the Authors Eric Moreau is Professor of Electrical Engineering at the University of Toulon, France. His research interests concern statistical signal processing, high order statistics and matrix/tensor decompositions with applications to data analysis, telecommunications and radar. Tülay Adali is Professor of Electrical Engineering and Director of the Machine Learning for Signal Processing Laboratory at the University of Maryland, Baltimore County, USA. Her research interests concern statistical and adaptive signal processing, with an emphasis on nonlinear and complex-valued signal processing, and applications in biomedical data analysis and communications. Blind identification consists of estimating a multidimensional system through the use of only its output. Source separation is concerned with the blind estimation of the inverse of the system. The estimation is generally performed by using different statistics of the outputs. The authors consider the blind estimation of a multiple input/multiple output (MIMO) system that mixes a number of underlying signals of interest called sources. They also consider the case of direct estimation of the inverse system for the purpose of source separation. They then describe the estimation theory associated with the identifiability conditions and dedicated algebraic algorithms. The algorithms depend critically on (statistical and/or time frequency) properties of complex sources that will be precisely described.
Bethlehem Jelke Handbook of Web Surveys Bethlehem Jelke Handbook of Web Surveys Новинка

Bethlehem Jelke Handbook of Web Surveys

12682 руб.
BEST PRACTICES TO CREATE AND IMPLEMENTHIGHLY EFFECTIVE WEB SURVEYS Exclusively combining design and sampling issues, Handbook of Web Surveys presents a theoretical yet practical approach to creating and conducting web surveys. From the history of web surveys to various modes of data collection to tips for detecting error, this book thoroughly introduces readers to the this cutting-edge technique and offers tips for creating successful web surveys. The authors provide a history of web surveys and go on to explore the advantages and disadvantages of this mode of data collection. Common challenges involving under-coverage, self-selection, and measurement errors are discussed as well as topics including: Sampling designs and estimation procedures Comparing web surveys to face-to-face, telephone, and mail surveys Errors in web surveys Mixed-mode surveys Weighting techniques including post-stratification, generalized regression estimation, and raking ratio estimation Use of propensity scores to correct bias Web panels Real-world examples illustrate the discussed concepts, methods, and techniques, with related data freely available on the book's Website. Handbook of Web Surveys is an essential reference for researchers in the fields of government, business, economics, and the social sciences who utilize technology to gather, analyze, and draw results from data. It is also a suitable supplement for survey methods courses at the upper-undergraduate and graduate levels.
Mohsen Pourahmadi High-Dimensional Covariance Estimation. With High-Dimensional Data Mohsen Pourahmadi High-Dimensional Covariance Estimation. With High-Dimensional Data Новинка

Mohsen Pourahmadi High-Dimensional Covariance Estimation. With High-Dimensional Data

6907.09 руб.
Methods for estimating sparse and large covariance matrices Covariance and correlation matrices play fundamental roles in every aspect of the analysis of multivariate data collected from a variety of fields including business and economics, health care, engineering, and environmental and physical sciences. High-Dimensional Covariance Estimation provides accessible and comprehensive coverage of the classical and modern approaches for estimating covariance matrices as well as their applications to the rapidly developing areas lying at the intersection of statistics and machine learning. Recently, the classical sample covariance methodologies have been modified and improved upon to meet the needs of statisticians and researchers dealing with large correlated datasets. High-Dimensional Covariance Estimation focuses on the methodologies based on shrinkage, thresholding, and penalized likelihood with applications to Gaussian graphical models, prediction, and mean-variance portfolio management. The book relies heavily on regression-based ideas and interpretations to connect and unify many existing methods and algorithms for the task. High-Dimensional Covariance Estimation features chapters on: Data, Sparsity, and Regularization Regularizing the Eigenstructure Banding, Tapering, and Thresholding Covariance Matrices Sparse Gaussian Graphical Models Multivariate Regression The book is an ideal resource for researchers in statistics, mathematics, business and economics, computer sciences, and engineering, as well as a useful text or supplement for graduate-level courses in multivariate analysis, covariance estimation, statistical learning, and high-dimensional data analysis.
Alain Abran Software Project Estimation. The Fundamentals for Providing High Quality Information to Decision Makers Alain Abran Software Project Estimation. The Fundamentals for Providing High Quality Information to Decision Makers Новинка

Alain Abran Software Project Estimation. The Fundamentals for Providing High Quality Information to Decision Makers

6522.7 руб.
This book introduces theoretical concepts to explain the fundamentals of the design and evaluation of software estimation models. It provides software professionals with vital information on the best software management software out there. End-of-chapter exercises Over 100 figures illustrating the concepts presented throughout the book Examples incorporated with industry data
Brenton Clarke R. Robustness Theory and Application Brenton Clarke R. Robustness Theory and Application Новинка

Brenton Clarke R. Robustness Theory and Application

6118.51 руб.
A preeminent expert in the field explores new and exciting methodologies in the ever-growing field of robust statistics Used to develop data analytical methods, which are resistant to outlying observations in the data, while capable of detecting outliers, robust statistics is extremely useful for solving an array of common problems, such as estimating location, scale, and regression parameters. Written by an internationally recognized expert in the field of robust statistics, this book addresses a range of well-established techniques while exploring, in depth, new and exciting methodologies. Local robustness and global robustness are discussed, and problems of non-identifiability and adaptive estimation are considered. Rather than attempt an exhaustive investigation of robustness, the author provides readers with a timely review of many of the most important problems in statistical inference involving robust estimation, along with a brief look at confidence intervals for location. Throughout, the author meticulously links research in maximum likelihood estimation with the more general M-estimation methodology. Specific applications and R and some MATLAB subroutines with accompanying data sets—available both in the text and online—are employed wherever appropriate. Providing invaluable insights and guidance, Robustness Theory and Application: Offers a balanced presentation of theory and applications within each topic-specific discussion Features solved examples throughout which help clarify complex and/or difficult concepts Meticulously links research in maximum likelihood type estimation with the more general M-estimation methodology Delves into new methodologies which have been developed over the past decade without stinting on coverage of “tried-and-true” methodologies Includes R and some MATLAB subroutines with accompanying data sets, which help illustrate the power of the methods described Robustness Theory and Application is an important resource for all statisticians interested in the topic of robust statistics. This book encompasses both past and present research, making it a valuable supplemental text for graduate-level courses in robustness.
Christian Robert Mixtures. Estimation and Applications Christian Robert Mixtures. Estimation and Applications Новинка

Christian Robert Mixtures. Estimation and Applications

7913.72 руб.
This book uses the EM (expectation maximization) algorithm to simultaneously estimate the missing data and unknown parameter(s) associated with a data set. The parameters describe the component distributions of the mixture; the distributions may be continuous or discrete. The editors provide a complete account of the applications, mathematical structure and statistical analysis of finite mixture distributions along with MCMC computational methods, together with a range of detailed discussions covering the applications of the methods and features chapters from the leading experts on the subject. The applications are drawn from scientific discipline, including biostatistics, computer science, ecology and finance. This area of statistics is important to a range of disciplines, and its methodology attracts interest from researchers in the fields in which it can be applied.
Maurice Charbit Digital Signal Processing (DSP) with Python Programming Maurice Charbit Digital Signal Processing (DSP) with Python Programming Новинка

Maurice Charbit Digital Signal Processing (DSP) with Python Programming

8637.62 руб.
The parameter estimation and hypothesis testing are the basic tools in statistical inference. These techniques occur in many applications of data processing., and methods of Monte Carlo have become an essential tool to assess performance. For pedagogical purposes the book includes several computational problems and exercices. To prevent students from getting stuck on exercises, detailed corrections are provided.
Mohammad Arashi Theory of Ridge Regression Estimation with Applications Mohammad Arashi Theory of Ridge Regression Estimation with Applications Новинка

Mohammad Arashi Theory of Ridge Regression Estimation with Applications

11569.54 руб.
A guide to the systematic analytical results for ridge, LASSO, preliminary test, and Stein-type estimators with applications Theory of Ridge Regression Estimation with Applications offers a comprehensive guide to the theory and methods of estimation. Ridge regression and LASSO are at the center of all penalty estimators in a range of standard models that are used in many applied statistical analyses. Written by noted experts in the field, the book contains a thorough introduction to penalty and shrinkage estimation and explores the role that ridge, LASSO, and logistic regression play in the computer intensive area of neural network and big data analysis. Designed to be accessible, the book presents detailed coverage of the basic terminology related to various models such as the location and simple linear models, normal and rank theory-based ridge, LASSO, preliminary test and Stein-type estimators.The authors also include problem sets to enhance learning. This book is a volume in the Wiley Series in Probability and Statistics series that provides essential and invaluable reading for all statisticians. This important resource: Offers theoretical coverage and computer-intensive applications of the procedures presented Contains solutions and alternate methods for prediction accuracy and selecting model procedures Presents the first book to focus on ridge regression and unifies past research with current methodology Uses R throughout the text and includes a companion website containing convenient data sets Written for graduate students, practitioners, and researchers in various fields of science, Theory of Ridge Regression Estimation with Applications is an authoritative guide to the theory and methodology of statistical estimation.
Ilya Narsky Statistical Analysis Techniques in Particle Physics. Fits, Density Estimation and Supervised Learning Ilya Narsky Statistical Analysis Techniques in Particle Physics. Fits, Density Estimation and Supervised Learning Новинка

Ilya Narsky Statistical Analysis Techniques in Particle Physics. Fits, Density Estimation and Supervised Learning

8565.23 руб.
Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students.
Emil Simiu Design of Buildings for Wind. A Guide for ASCE 7-10 Standard Users and Designers of Special Structures Emil Simiu Design of Buildings for Wind. A Guide for ASCE 7-10 Standard Users and Designers of Special Structures Новинка

Emil Simiu Design of Buildings for Wind. A Guide for ASCE 7-10 Standard Users and Designers of Special Structures

11124.56 руб.
ASCE 7 is the US standard for identifying minimum design loads for buildings and other structures. ASCE 7 covers many load types, of which wind is one. The purpose of this book is to provide structural and architectural engineers with the practical state-of-the-art knowledge and tools needed for designing and retrofitting buildings for wind loads. The book will also cover wind-induced loss estimation. This new edition include a guide to the thoroughly revised, 2010 version of the ASCE 7 Standard provisions for wind loads; incorporate major advances achieved in recent years in the design of tall buildings for wind; present material on retrofitting and loss estimation; and improve the presentation of the material to increase its usefulness to structural engineers. Key features: New focus on tall buildings helps make the analysis and design guidance easier and less complex. Covers the new simplified design methods of ASCE 7-10, guiding designers to clearly understand the spirit and letter of the provisions and use the design methods with confidence and ease. Includes new coverage of retrofitting for wind load resistance and loss estimation from hurricane winds. Thoroughly revised and updated to conform with current practice and research.
Roberto Benedetti Agricultural Survey Methods Roberto Benedetti Agricultural Survey Methods Новинка

Roberto Benedetti Agricultural Survey Methods

11949.12 руб.
Due to the widespread use of surveys in agricultural resources estimation there is a broad and recognizable interest in methods and techniques to collect and process agricultural data. This book brings together the knowledge of academics and experts to increase the dissemination of the latest developments in agricultural statistics. Conducting a census, setting up frames and registers and using administrative data for statistical purposes are covered and issues arising from sample design and estimation, use of remote sensing, management of data quality and dissemination and analysis of survey data are explored. Key features: Brings together high quality research on agricultural statistics from experts in this field. Provides a thorough and much needed overview of developments within agricultural statistics. Contains summaries for each chapter, providing a valuable reference framework for those new to the field. Based upon a selection of key methodological papers presented at the ICAS conference series, updated and expanded to address current issues. Covers traditional statistical methodologies including sampling and weighting. This book provides a much needed guide to conducting surveys of land use and to the latest developments in agricultural statistics. Statisticians interested in agricultural statistics, agricultural statisticians in national statistics offices and statisticians and researchers using survey methodology will benefit from this book.
John Ogundare Olusegun Understanding Least Squares Estimation and Geomatics Data Analysis John Ogundare Olusegun Understanding Least Squares Estimation and Geomatics Data Analysis Новинка

John Ogundare Olusegun Understanding Least Squares Estimation and Geomatics Data Analysis

11124.56 руб.
Provides a modern approach to least squares estimation and data analysis for undergraduate land surveying and geomatics programs Rich in theory and concepts, this comprehensive book on least square estimation and data analysis provides examples that are designed to help students extend their knowledge to solving more practical problems. The sample problems are accompanied by suggested solutions, and are challenging, yet easy enough to manually work through using simple computing devices, and chapter objectives provide an overview of the material contained in each section. Understanding Least Squares Estimation and Geomatics Data Analysis begins with an explanation of survey observables, observations, and their stochastic properties. It reviews matrix structure and construction and explains the needs for adjustment. Next, it discusses analysis and error propagation of survey observations, including the application of heuristic rule for covariance propagation. Then, the important elements of statistical distributions commonly used in geomatics are discussed. Main topics of the book include: concepts of datum definitions; the formulation and linearization of parametric, conditional and general model equations involving typical geomatics observables; geomatics problems; least squares adjustments of parametric, conditional and general models; confidence region estimation; problems of network design and pre-analysis; three-dimensional geodetic network adjustment; nuisance parameter elimination and the sequential least squares adjustment; post-adjustment data analysis and reliability; the problems of datum; mathematical filtering and prediction; an introduction to least squares collocation and the kriging methods; and more. Contains ample concepts/theory and content, as well as practical and workable examples Based on the author's manual, which he developed as a complete and comprehensive book for his Adjustment of Surveying Measurements and Special Topics in Adjustments courses Provides geomatics undergraduates and geomatics professionals with required foundational knowledge An excellent companion to Precision Surveying: The Principles and Geomatics Practice Understanding Least Squares Estimation and Geomatics Data Analysis is recommended for undergraduates studying geomatics, and will benefit many readers from a variety of geomatics backgrounds, including practicing surveyors/engineers who are interested in least squares estimation and data analysis, geomatics researchers, and software developers for geomatics.
Bangjun Lei Classification, Parameter Estimation and State Estimation. An Engineering Approach Using MATLAB Bangjun Lei Classification, Parameter Estimation and State Estimation. An Engineering Approach Using MATLAB Новинка

Bangjun Lei Classification, Parameter Estimation and State Estimation. An Engineering Approach Using MATLAB

9358.11 руб.
A practical introduction to intelligent computer vision theory, design, implementation, and technology The past decade has witnessed epic growth in image processing and intelligent computer vision technology. Advancements in machine learning methods—especially among adaboost varieties and particle filtering methods—have made machine learning in intelligent computer vision more accurate and reliable than ever before. The need for expert coverage of the state of the art in this burgeoning field has never been greater, and this book satisfies that need. Fully updated and extensively revised, this 2nd Edition of the popular guide provides designers, data analysts, researchers and advanced post-graduates with a fundamental yet wholly practical introduction to intelligent computer vision. The authors walk you through the basics of computer vision, past and present, and they explore the more subtle intricacies of intelligent computer vision, with an emphasis on intelligent measurement systems. Using many timely, real-world examples, they explain and vividly demonstrate the latest developments in image and video processing techniques and technologies for machine learning in computer vision systems, including: PRTools5 software for MATLAB—especially the latest representation and generalization software toolbox for PRTools5 Machine learning applications for computer vision, with detailed discussions of contemporary state estimation techniques vs older content of particle filter methods The latest techniques for classification and supervised learning, with an emphasis on Neural Network, Genetic State Estimation and other particle filter and AI state estimation methods All new coverage of the Adaboost and its implementation in PRTools5. A valuable working resource for professionals and an excellent introduction for advanced-level students, this 2nd Edition features a wealth of illustrative examples, ranging from basic techniques to advanced intelligent computer vision system implementations. Additional examples and tutorials, as well as a question and solution forum, can be found on a companion website.
Timothy Lea Timothy Lea's Complete Confessions Timothy Lea Timothy Lea's Complete Confessions Новинка

Timothy Lea Timothy Lea's Complete Confessions

741.64 руб.
The complete Timothy Lea confessions from the CONFESSIONS series, the brilliant sex comedies from the 70s, available for the first time in eBook.Save over £16 on the individual purchase RRPContains:CONFESSIONS OF A WINDOW CLEANERCONFESSIONS OF A DRIVING INSTRUCTORCONFESSIONS FROM A HOLIDAY CAMPCONFESSIONS FROM A HOTELCONFESSIONS OF A TRAVELLING SALESMANCONFESSIONS OF A FILM EXTRACONFESSIONS FROM THE CLINKCONFESSIONS FROM A HEALTH FARMCONFESSIONS OF A PRIVATE SOLDIERCONFESSIONS OF A POP STARCONFESSIONS FROM THE SHOP FLOORCONFESSIONS OF A LONG DISTANCE LORRY DRIVERCONFESSIONS OF A PLUMBER’S MATECONFESSIONS OF A PRIVATE DICKCONFESSIONS FROM A LUXURY LINERCONFESSIONS OF A MILKMANCONFESSIONS FROM A NUDIST COLONYCONFESSIONS OF AN ICE CREAM MANCONFESSIONS FROM A HAUNTED HOUSE
Prithwiraj Purkait Transformer Ageing. Monitoring and Estimation Techniques Prithwiraj Purkait Transformer Ageing. Monitoring and Estimation Techniques Новинка

Prithwiraj Purkait Transformer Ageing. Monitoring and Estimation Techniques

11517.51 руб.
A one-stop guide to transformer ageing, presenting industrially relevant state-of-the-art diagnostic techniques backed by extensive research data Offers a comprehensive coverage of transformer ageing topics including insulation materials, condition monitoring and diagnostic techniques Features chapters on smart transformer monitoring frameworks, transformer life estimation and biodegradable oil Highlights industrially relevant techniques adopted in electricity utilities, backed by extensive research
Timothy Lea The Confessions Collection Timothy Lea The Confessions Collection Новинка

Timothy Lea The Confessions Collection

518.97 руб.
The complete Timothy Lea and Rosie Dixon confessions from the CONFESSIONS series, the brilliant sex comedies from the 70s, available for the first time in eBook.Save over £30 on the individual purchase RRPContains:Timothy Lea’s Complete ConfessionsCONFESSIONS OF A WINDOW CLEANERCONFESSIONS OF A DRIVING INSTRUCTORCONFESSIONS FROM A HOLIDAY CAMPCONFESSIONS FROM A HOTELCONFESSIONS OF A TRAVELLING SALESMANCONFESSIONS OF A FILM EXTRACONFESSIONS FROM THE CLINKCONFESSIONS FROM A HEALTH FARMCONFESSIONS OF A PRIVATE SOLDIERCONFESSIONS OF A POP STARCONFESSIONS FROM THE SHOP FLOORCONFESSIONS OF A LONG DISTANCE LORRY DRIVERCONFESSIONS OF A PLUMBER’S MATECONFESSIONS OF A PRIVATE DICKCONFESSIONS FROM A LUXURY LINERCONFESSIONS OF A MILKMANCONFESSIONS FROM A NUDIST COLONYCONFESSIONS OF AN ICE CREAM MANCONFESSIONS FROM A HAUNTED HOUSEAnd Rosie Dixon’s Complete ConfessionsCONFESSIONS OF A NIGHT NURSECONFESSIONS OF A GYM MISTRESSCONFESSIONS FROM AN ESCORT AGENCYCONFESSIONS OF A LADY COURIERCONFESSIONS FROM A PACKAGE TOURCONFESSIONS OF A PHYSICAL WRACCONFESSIONS OF A BABYSITTERCONFESSIONS OF A PERSONAL SECRETARY
Harry Trees L.Van Detection Estimation and Modulation Theory, Part I. Detection, Estimation, and Filtering Theory Harry Trees L.Van Detection Estimation and Modulation Theory, Part I. Detection, Estimation, and Filtering Theory Новинка

Harry Trees L.Van Detection Estimation and Modulation Theory, Part I. Detection, Estimation, and Filtering Theory

8206.01 руб.
Originally published in 1968, Harry Van Trees’s Detection, Estimation, and Modulation Theory, Part I is one of the great time-tested classics in the field of signal processing. Highly readable and practically organized, it is as imperative today for professionals, researchers, and students in optimum signal processing as it was over thirty years ago. The second edition is a thorough revision and expansion almost doubling the size of the first edition and accounting for the new developments thus making it again the most comprehensive and up-to-date treatment of the subject. With a wide range of applications such as radar, sonar, communications, seismology, biomedical engineering, and radar astronomy, among others, the important field of detection and estimation has rarely been given such expert treatment as it is here. Each chapter includes section summaries, realistic examples, and a large number of challenging problems that provide excellent study material. This volume which is Part I of a set of four volumes is the most important and widely used textbook and professional reference in the field.
Gebremichael Mekonnen Rainfall. State of the Science Gebremichael Mekonnen Rainfall. State of the Science Новинка

Gebremichael Mekonnen Rainfall. State of the Science

10679.58 руб.
Published by the American Geophysical Union as part of the Geophysical Monograph Series, Volume 191. Rainfall: State of the Science offers the most up-to-date knowledge on the fundamental and practical aspects of rainfall. Each chapter, self-contained and written by prominent scientists in their respective fields, provides three forms of information: fundamental principles, detailed overview of current knowledge and description of existing methods, and emerging techniques and future research directions. The book discusses Rainfall microphysics: raindrop morphodynamics, interactions, size distribution, and evolution Rainfall measurement and estimation: ground-based direct measurement (disdrometer and rain gauge), weather radar rainfall estimation, polarimetric radar rainfall estimation, and satellite rainfall estimation Statistical analyses: intensity-duration-frequency curves, frequency analysis of extreme events, spatial analyses, simulation and disaggregation, ensemble approach for radar rainfall uncertainty, and uncertainty analysis of satellite rainfall products The book is tailored to be an indispensable reference for researchers, practitioners, and graduate students who study any aspect of rainfall or utilize rainfall information in various science and engineering disciplines.
Vincent Savaux MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems Vincent Savaux MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems Новинка

Vincent Savaux MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems

5254.42 руб.
This book presents an algorithm for the detection of an orthogonal frequency division multiplexing (OFDM) signal in a cognitive radio context by means of a joint and iterative channel and noise estimation technique. Based on the minimum mean square criterion, it performs an accurate detection of a user in a frequency band, by achieving a quasi-optimal channel and noise variance estimation if the signal is present, and by estimating the noise level in the band if the signal is absent. Organized into three chapters, the first chapter provides the background against which the system model is presented, as well as some basics concerning the channel statistics and the transmission of an OFDM signal over a multipath channel. In Chapter 2, the proposed iterative algorithm for the noise variance and the channel estimation is detailed, and in Chapter 3, an application of the algorithm for the free-band detection is proposed. In both Chapters 2 and 3, the principle of the algorithm is presented in a simple way, and more elaborate developments are also provided. The different assumptions and assertions in the developments and the performance of the proposed method are validated through simulations, and compared to methods of the scientific literature
Rosie Dixon Rosie Dixon's Complete Confessions Rosie Dixon Rosie Dixon's Complete Confessions Новинка

Rosie Dixon Rosie Dixon's Complete Confessions

219.83 руб.
The complete Rosie Dixon confessions from the CONFESSIONS series, the brilliant sex comedies from the 70s, available for the first time in eBook.Save over 16% on the individual purchase RRPContains:CONFESSIONS OF A NIGHT NURSECONFESSIONS OF A GYM MISTRESSCONFESSIONS FROM AN ESCORT AGENCYCONFESSIONS OF A LADY COURIERCONFESSIONS FROM A PACKAGE TOURCONFESSIONS OF A PHYSICAL WRACCONFESSIONS OF A BABYSITTERCONFESSIONS OF A PERSONAL SECRETARY
Lars Landberg Meteorology for Wind Energy. An Introduction Lars Landberg Meteorology for Wind Energy. An Introduction Новинка

Lars Landberg Meteorology for Wind Energy. An Introduction

6785.53 руб.
Most practitioners within wind energy have only a very basic knowledge about meteorology, leading to a lack of understanding of one of the most fundamental subjects in wind energy. This book will therefore provide an easy-to-understand introduction to the subject of meteorology, as seen from the viewpoint of wind energy. Catering for a range of academic backgrounds, the book is mathematically rigorous with accessible explanations for non-mathematically oriented readers. Through exercises in the text and at the end of each chapter the reader will be challenged to think, seek further information and practice the knowledge obtained from reading the book. This practical yet comprehensive reference will enable readers to fully understand the theoretical background of meteorology with wind energy in mind and will include topics such as: measurements; wind profiles; wakes; modelling; turbulence and the fundamentals of atmospheric flow on all scales including the local scale. Key features: • Provides practitioners of wind energy with a solid theoretical grounding in relevant aspects of meteorology enabling them to exercise useful judgment in matters related to resource estimation, wind farm development, planning, turbine design and electrical grids. • Supports a growing area of professional development with the increasing importance of wind energy estimation in all aspects of electrical energy production from wind. • Accompanying website includes data sets for exercises in data analysis, photographs, animations & worked examples, helping to further bridge the gap between theory and practice. Meteorology for Wind Energy: An Introduction is aimed at engineers, developers and project managers in the wind power and electrical utility sectors without the essential theoretical background required to understand the topic. It will also have significant appeal to senior undergraduate and postgraduate students of Wind Energy, Environmental Studies or Renewables Studies.
Iris Claus A Collection of Surveys on Savings and Wealth Accumulation Iris Claus A Collection of Surveys on Savings and Wealth Accumulation Новинка

Iris Claus A Collection of Surveys on Savings and Wealth Accumulation

1966.82 руб.
In this collection of critical surveys the reader is provided with a range of up-to-date work from some of the leading scholars in the area, writing on private and public sector aspects of savings and wealth accumulation. A survey of savings and wealth accumulation which are important dimensions of research and policy debates Discusses the measurement of genuine savings and sustainability, the estimation of wealth inequality, and recent developments in consumer credit and defaults Evaluates the impact of student loans on financial well-being, people’s retirement decisions, and the impact of pension reform Considers the distribution of wealth across generations and the importance of accurately measuring government debt, the rise of sovereign wealth funds and Islamic banking and finance
Автор не указан The doctrine of life for the New Jerusalem, from the commandements of the Decalogue Автор не указан The doctrine of life for the New Jerusalem, from the commandements of the Decalogue Новинка

Автор не указан The doctrine of life for the New Jerusalem, from the commandements of the Decalogue

0 руб.
Полный вариант заголовка: «The doctrine of life for the New Jerusalem, from the commandements of the Decalogue / translated from the latin of Emanuel Swedenborg origanally published at Amsterdam in the year 1763».
Aroon Shenoy Heat Transfer to Non-Newtonian Fluids. Fundamentals and Analytical Expressions Aroon Shenoy Heat Transfer to Non-Newtonian Fluids. Fundamentals and Analytical Expressions Новинка

Aroon Shenoy Heat Transfer to Non-Newtonian Fluids. Fundamentals and Analytical Expressions

12236.63 руб.
This book has been written with the idea of providing the fundamentals for those who are interested in the field of heat transfer to non-Newtonian uids. It is well recognized that non-Newtonian fluids are encountered in a number of transport processes and estimation of the heat transfer characteristics in the presence of these fl uids requires analysis of equations that are far more complex than those encountered for Newtonian fl uids. A deliberate effort has be made to demonstrate the methods of simplication of the complex equations and to put forth analytical expressions for the various heat transfer situations in as vivid manner as possible. The book covers a broad range of topics from forced, naturaland mixed convection without and with porous media. Laminaras well as turbulent flow heat transfer to non-Newtonian fluids have been treated and the criterion for transition from laminar toturbulent fl ow for natural convection has been established. The heat transfer characteristics of non-Newtonian fl uids from inelastic power-law fluids to viscoelastic second-order fluids and mildly elastic drag reducing fl uids are covered. This book can serve the needs of undergraduates, graduates and industry personnel from the fields of chemical engineering, material science and engineering, mechanical engineering and polymer engineering.
George Staunton An authentic account of an embassy from the king of Great Britain to the emperor of China. Vol. 2, pt. 1 George Staunton An authentic account of an embassy from the king of Great Britain to the emperor of China. Vol. 2, pt. 1 Новинка

George Staunton An authentic account of an embassy from the king of Great Britain to the emperor of China. Vol. 2, pt. 1

0 руб.
Полный вариант заголовка: «An authentic account of an embassy from the king of Great Britain to the emperor of China : Taken chiefly from the papers of earl of Macartney, embassador extraordinary a. plenipotentiary to the emperor of China: In 2 vol. Vol. 1».
George Staunton An authentic account of an embassy from the king of Great Britain to the emperor of China. Vol. 1 George Staunton An authentic account of an embassy from the king of Great Britain to the emperor of China. Vol. 1 Новинка

George Staunton An authentic account of an embassy from the king of Great Britain to the emperor of China. Vol. 1

0 руб.
Полный вариант заголовка: «An authentic account of an embassy from the king of Great Britain to the emperor of China : Taken chiefly from the papers of earl of Macartney, embassador extraordinary a. plenipotentiary to the emperor of China: In 2 vol. Vol. 1».
George Staunton An authentic account of an embassy from the king of Great Britain to the emperor of China. Vol. 2, pt. 2 George Staunton An authentic account of an embassy from the king of Great Britain to the emperor of China. Vol. 2, pt. 2 Новинка

George Staunton An authentic account of an embassy from the king of Great Britain to the emperor of China. Vol. 2, pt. 2

0 руб.
Полный вариант заголовка: «An authentic account of an embassy from the king of Great Britain to the emperor of China : Taken chiefly from the papers of earl of Macartney, embassador extraordinary a. plenipotentiary to the emperor of China: In 2 vol. Vol. 2, pt. 2».
Alexander Kniazev Introduction to Bayesian Estimation and Copula Models of Dependence Alexander Kniazev Introduction to Bayesian Estimation and Copula Models of Dependence Новинка

Alexander Kniazev Introduction to Bayesian Estimation and Copula Models of Dependence

8277.72 руб.
Presents an introduction to Bayesian statistics, presents an emphasis on Bayesian methods (prior and posterior), Bayes estimation, prediction, MCMC,Bayesian regression, and Bayesian analysis of statistical modelsof dependence, and features a focus on copulas for risk management Introduction to Bayesian Estimation and Copula Models of Dependence emphasizes the applications of Bayesian analysis to copula modeling and equips readers with the tools needed to implement the procedures of Bayesian estimation in copula models of dependence. This book is structured in two parts: the first four chapters serve as a general introduction to Bayesian statistics with a clear emphasis on parametric estimation and the following four chapters stress statistical models of dependence with a focus of copulas. A review of the main concepts is discussed along with the basics of Bayesian statistics including prior information and experimental data, prior and posterior distributions, with an emphasis on Bayesian parametric estimation. The basic mathematical background of both Markov chains and Monte Carlo integration and simulation is also provided. The authors discuss statistical models of dependence with a focus on copulas and present a brief survey of pre-copula dependence models. The main definitions and notations of copula models are summarized followed by discussions of real-world cases that address particular risk management problems. In addition, this book includes: • Practical examples of copulas in use including within the Basel Accord II documents that regulate the world banking system as well as examples of Bayesian methods within current FDA recommendations • Step-by-step procedures of multivariate data analysis and copula modeling, allowing readers to gain insight for their own applied research and studies • Separate reference lists within each chapter and end-of-the-chapter exercises within Chapters 2 through 8 • A companion website containing appendices: data files and demo files in Microsoft® Office Excel®, basic code in R, and selected exercise solutions Introduction to Bayesian Estimation and Copula Models of Dependence is a reference and resource for statisticians who need to learn formal Bayesian analysis as well as professionals within analytical and risk management departments of banks and insurance companies who are involved in quantitative analysis and forecasting. This book can also be used as a textbook for upper-undergraduate and graduate-level courses in Bayesian statistics and analysis. ARKADY SHEMYAKIN, PhD, is Professor in the Department of Mathematics and Director of the Statistics Program at the University of St. Thomas. A member of the American Statistical Association and the International Society for Bayesian Analysis, Dr. Shemyakin's research interests include informationtheory, Bayesian methods of parametric estimation, and copula models in actuarial mathematics, finance, and engineering. ALEXANDER KNIAZEV, PhD, is Associate Professor and Head of the Department of Mathematics at Astrakhan State University in Russia. Dr. Kniazev's research interests include representation theory of Lie algebras and finite groups, mathematical statistics, econometrics, and financial mathematics.
Golden Reuel London. Portrait of a City Golden Reuel London. Portrait of a City Новинка

Golden Reuel London. Portrait of a City

5244 руб.
Samuel Johnson famously said that: "When a man is tired of London, he is tired of life." London's remarkable history, architecture, landmarks, streets, style, cool, swagger, and stalwart residents are pictured in hundreds of compelling photographs sourced from a wide array of archives around the world. London is a vast sprawling metropolis, constantly evolving and growing, yet throughout its complex past and shifting present, the humor, unique character, and bulldog spirit of the people have stayed constant. This book salutes all those Londoners, their city, and its history. In addition to the wealth of images included in this book, many previously unpublished, London's history is told through hundreds of quotations, lively essays, and references from key movies, books, and records. From Victorian London to the Swinging 60s; from the Battle of Britain to Punk; from the Festival of Britain to the 2012 Olympics; from the foggy cobbled streets to the architectural masterpieces of the millennium; from rough pubs to private drinking clubs; from Royal Weddings to raves, from the charm of the East End to the wonders of the Westminster; from Chelsea girls to Hoxton hipsters; from the power to glory: in page after page of stunning photographs, reproduced big and bold like the city itself, London at last gets the photographic tribute it deserves.
Edward Lengel G. A Companion to George Washington Edward Lengel G. A Companion to George Washington Новинка

Edward Lengel G. A Companion to George Washington

16312.31 руб.
Utilizing new primary source material from the Papers of George Washington, a documentary editing project dedicated to the transcription and publication of original documents, A Companion to George Washington features a collection of original readings from scholars and popular historians that shed new light on all aspects of the life of George Washington. Provides readers with new insights into previously neglected aspects of Washington's life Features original essays from top scholars and popular historians Based on new research from thousands of previously unpublished letters to and from Washington
Т. Комарова K-anonymity: A note on the trade-off between data utility and data security Т. Комарова K-anonymity: A note on the trade-off between data utility and data security Новинка

Т. Комарова K-anonymity: A note on the trade-off between data utility and data security

152 руб.
Researchers often use data from multiple datasets to conduct credible econometric and statistical analysis. The most reliable way to link entries across such datasets is to exploit unique identifiers if those are available. Such linkage however may result in privacy violations revealing sensitive information about some individuals in a sample. Thus, a data curator with concerns for individual privacy may choose to remove certain individual information from the private dataset they plan on releasing to researchers. The extent of individual information the data curator keeps in the private dataset can still allow a researcher to link the datasets, most likely with some errors, and usually results in a researcher having several feasible combined datasets. One conceptual framework a data curator may rely on is k-anonymity, k ≥ 2, which gained wide popularity in computer science and statistical community. To ensure k-anonymity, the data curator releases only the amount of identifying information in the private dataset that guarantees that every entry in it can be linked to at least k different entries in the publicly available datasets the researcher will use. In this paper, we look at the data combination task and the estimation task from both perspectives – from the perspective of the researcher estimating the model and from the perspective of a data curator who restricts identifying information in the private dataset to make sure that k-anonymity holds. We illustrate how to construct identifiers in practice and use them to combine some entries across two datasets. We also provide an empirical illustration on how a data curator can ensure k-anonymity and consequences it has on the estimation procedure. Naturally, the utility of the combined data gets smaller as k increases, which is also evident from our empirical illustration.
Mounir Mesbah Rasch Models in Health Mounir Mesbah Rasch Models in Health Новинка

Mounir Mesbah Rasch Models in Health

11877.41 руб.
The family of statistical models known as Rasch models started with a simple model for responses to questions in educational tests presented together with a number of related models that the Danish mathematician Georg Rasch referred to as models for measurement. Since the beginning of the 1950s the use of Rasch models has grown and has spread from education to the measurement of health status. This book contains a comprehensive overview of the statistical theory of Rasch models. Part 1 contains the probabilistic definition of Rasch models, Part 2 describes the estimation of item and person parameters, Part 3 concerns the assessment of the data-model fit of Rasch models, Part 4 contains applications of Rasch models, Part 5 discusses how to develop health-related instruments for Rasch models, and Part 6 describes how to perform Rasch analysis and document results.
Notes From Underground Notes From Underground Новинка

Notes From Underground

340 руб.
With an Introduction and Notes by David Rampton, Department of English, University of Ottowa. Notes from Underground and Other Stories is a comprehensive collection of...
Stock Jay T. Human Bioarchaeology of the Transition to Agriculture Stock Jay T. Human Bioarchaeology of the Transition to Agriculture Новинка

Stock Jay T. Human Bioarchaeology of the Transition to Agriculture

13939.07 руб.
A holistic and comprehensive account of the nature of the transition from hunting to farming in prehistory. It addresses for the first time the main bioarchaeological aspects such as changes in mobility, behaviour, diet and population dynamics. This book is of major interest to the relevant audience since it offers for the first time a global perspective on the bioarchaeology of the transition to agriculture. It includes contributions from world-class researchers, with a particular emphasis on advances in methods (e.g. ancient DNA of pathogens, stable isotope analysis, etc.). The book specifically addresses the following aspects associated with the transition to agriculture in various world regions: Changes in adult and subadult stature and subadult growth profiles Diachronic trends in the analysis of functional morphological structures (craniofacial, vault, lower limbs, etc.) and whether these are associated with change in overall sex-specific morphological variability Changes in mobility Changes in behaviour which can be reconstructed from the study of the skeletal record. These include changes in activity patterns, sexual dimorphism, evidence of inter-personal trauma, and the like. Population dynamics and microevolution by examining intra and inter population variations in dental and cranial metric traits, as well as archaeogenetic studies of ancient DNA (e.g. mtDNA markers).
Beatrice Hoffmann Emergency Point-of-Care Ultrasound Beatrice Hoffmann Emergency Point-of-Care Ultrasound Новинка

Beatrice Hoffmann Emergency Point-of-Care Ultrasound

8277.72 руб.
Featuring contributions from internationally recognized experts in point-of-care sonography, Emergency Point-of-Care Ultrasound, Second Edition combines a wealth of images with clear, succinct text to help beginners, as well as experienced sonographers, develop and refine their sonography skills. The book contains chapters devoted to scanning the chest, abdomen, head and neck, and extremities, as well as paediatric evaluations, ultrasound-guided vascular access, and more. An entire section is devoted to the syndromic approach for an array of symptoms and patient populations, including chest and abdominal pain, respiratory distress, HIV and TB coinfected patients, and pregnant patients. Also included is expert guidance on administering ultrasound in a variety of challenging environments, such as communities and regions with underdeveloped healthcare systems, hostile environments, and cyberspace. Each chapter begins with an introduction to the focused scan under discussion and a detailed description of methods for obtaining useful images. This is followed by examples of normal and abnormal scans, along with discussions of potential pitfalls of the technique, valuable insights from experienced users, and summaries of the most up-to-date evidence. Emergency Point-of-Care Ultrasound, Second Edition is a valuable working resource for emergency medicine residents and trainees, practitioners who are just bringing ultrasound scanning into their practices, and clinicians with many years of sonographic experience.
Hebertt Sira-Ramirez Algebraic Identification and Estimation Methods in Feedback Control Systems Hebertt Sira-Ramirez Algebraic Identification and Estimation Methods in Feedback Control Systems Новинка

Hebertt Sira-Ramirez Algebraic Identification and Estimation Methods in Feedback Control Systems

13790.13 руб.
Algebraic Identification and Estimation Methods in Feedback Control Systems presents a model-based algebraic approach to online parameter and state estimation in uncertain dynamic feedback control systems. This approach evades the mathematical intricacies of the traditional stochastic approach, proposing a direct model-based scheme with several easy-to-implement computational advantages. The approach can be used with continuous and discrete, linear and nonlinear, mono-variable and multi-variable systems. The estimators based on this approach are not of asymptotic nature, and do not require any statistical knowledge of the corrupting noises to achieve good performance in a noisy environment. These estimators are fast, robust to structured perturbations, and easy to combine with classical or sophisticated control laws. This book uses module theory, differential algebra, and operational calculus in an easy-to-understand manner and also details how to apply these in the context of feedback control systems. A wide variety of examples, including mechanical systems, power converters, electric motors, and chaotic systems, are also included to illustrate the algebraic methodology. Key features: Presents a radically new approach to online parameter and state estimation. Enables the reader to master the use and understand the consequences of the highly theoretical differential algebraic viewpoint in control systems theory. Includes examples in a variety of physical applications with experimental results. Covers the latest developments and applications. Algebraic Identification and Estimation Methods in Feedback Control Systems is a comprehensive reference for researchers and practitioners working in the area of automatic control, and is also a useful source of information for graduate and undergraduate students.
Gary Burns A Companion to Popular Culture Gary Burns A Companion to Popular Culture Новинка

Gary Burns A Companion to Popular Culture

3955.5 руб.
A Companion to Popular Culture is a landmark survey of contemporary research in popular culture studies that offers a comprehensive and engaging introduction to the field. Includes over two dozen essays covering the spectrum of popular culture studies from food to folklore and from TV to technology Features contributions from established and up-and-coming scholars from a range of disciplines Offers a detailed history of the study of popular culture Balances new perspectives on the politics of culture with in-depth analysis of topics at the forefront of popular culture studies
Jasveer Singh Functional Software Size Measurement Methodology with Effort Estimation and Performance Indication Jasveer Singh Functional Software Size Measurement Methodology with Effort Estimation and Performance Indication Новинка

Jasveer Singh Functional Software Size Measurement Methodology with Effort Estimation and Performance Indication

8637.62 руб.
Presents a new, effective methodology in software size measurement Software size measurement is an extremely important and highly specialized aspect of the software life cycle. It is used for determining the effort and cost estimations for project planning purposes of a software project’s execution, and/or for other costing, charging, and productivity analysis purposes. Many software projects exceed their allocated budget limits because the methodologies currently available lack accuracy. The new software size measurement methodology presented in this book offers a complete procedure that overcomes the deficiencies of the current methodologies, allowing businesses to estimate the size and required effort correctly for all their software projects developed in high level languages. The Functional Software Size Measurement Methodology with Effort Estimation and Performance Indication (FSSM) allows for projects to be completed within the defined budget limits by obtaining accurate estimations. The methodology provides comprehensive and precise measurements of the complete software whereby factual software size determination, development effort estimation, and performance indications are obtained. The approach is elaborate, effective and accurate for software size measurement and development effort estimation, avoiding inaccurate project planning of software projects. Key features: Pinpoints one of the major, originating root causes of erroneous planning by disclosing hidden errors made in software size measurement, and consequently in effort estimates and project planning All the major relevant and important aspects of software size measurement are taken into consideration and clearly presented to the reader Functional Software Size Measurement Methodology with Effort Estimation and Performance Indication is a vital reference for software professionals and Master level students in software engineering. For further information and materials relating to this book, such as FSSM 1.0 Calculations Template for Results Tables and Graphs, containing Calculations, and Results Tables/Graphs for the Mini FSSM Example, please visit the following two accompanying websites: http://booksupport.wiley.com www.fssm.software
Biao Huang Dynamic Modeling and Predictive Control in Solid Oxide Fuel Cells. First Principle and Data-based Approaches Biao Huang Dynamic Modeling and Predictive Control in Solid Oxide Fuel Cells. First Principle and Data-based Approaches Новинка

Biao Huang Dynamic Modeling and Predictive Control in Solid Oxide Fuel Cells. First Principle and Data-based Approaches

11513.42 руб.
The high temperature solid oxide fuel cell (SOFC) is identified as one of the leading fuel cell technology contenders to capture the energy market in years to come. However, in order to operate as an efficient energy generating system, the SOFC requires an appropriate control system which in turn requires a detailed modelling of process dynamics. Introducting state-of-the-art dynamic modelling, estimation, and control of SOFC systems, this book presents original modelling methods and brand new results as developed by the authors. With comprehensive coverage and bringing together many aspects of SOFC technology, it considers dynamic modelling through first-principles and data-based approaches, and considers all aspects of control, including modelling, system identification, state estimation, conventional and advanced control. Key features: Discusses both planar and tubular SOFC, and detailed and simplified dynamic modelling for SOFC Systematically describes single model and distributed models from cell level to system level Provides parameters for all models developed for easy reference and reproducing of the results All theories are illustrated through vivid fuel cell application examples, such as state-of-the-art unscented Kalman filter, model predictive control, and system identification techniques to SOFC systems The tutorial approach makes it perfect for learning the fundamentals of chemical engineering, system identification, state estimation and process control. It is suitable for graduate students in chemical, mechanical, power, and electrical engineering, especially those in process control, process systems engineering, control systems, or fuel cells. It will also aid researchers who need a reminder of the basics as well as an overview of current techniques in the dynamic modelling and control of SOFC.
Hagen Rose-Marie, Hagen Rainer Egyptian Art Hagen Rose-Marie, Hagen Rainer Egyptian Art Новинка

Hagen Rose-Marie, Hagen Rainer Egyptian Art

1775 руб.
From the Land of the Pharaohs. The finest treasures from Ancient Egypt. The art of ancient Egypt that has been handed down to us bears no names of its creators, and yet we value the creations of these unknown masters no less than the works of later centuries, such as statues by Michelangelo or the paintings by Leonardo da Vinci. This book introduces some of the most important masterpieces, ranging from the Old Kingdom during the Third millennium BC, to the Late Period in the 9th century BC. The works encompass sculptures, reliefs, sarcophagi, murals, masks, and decorative items, most of them now in the Egyptian Museum in Cairo, but some occupying places of honor as part of the World Cultural Heritage in museums such as the Louvre in Paris, the British Museum in London, the Egyptian Museum in Berlin, and the Metropolitan Museum in New York. Featured works include: Seated statue of King Djoser. Wood relief of Hesire on a dining table. Statue of a scribe made of various materials. Funerary relief of Aschait. Sphinx of Sesostris III. Robed statue of Cherihotep. Reliefs from the Temple at Carnac. Sarcophagus of Queen Hatshepsut. Murals from Thebes. Seated figure of the goddess Sachmet. Statue of Queen Teje. Head of Akhenaten (Amenophis IV). Queen Nefertiti. Golden mask of Tutankhamun. Ramses II from Abu Simbel. Horus falcon made of granite. Stone relief from the temple ambulatory at Edfu.
Отсутствует An epitome of the history of Algiers Отсутствует An epitome of the history of Algiers Новинка

Отсутствует An epitome of the history of Algiers

0 руб.
Полный вариант заголовка: «An epitome of the history of Algiers : from the first settlement of the Moors in those parts, after their expulsion from Granada by the Spaniards, tо the time they rendered themselves independent of the Ottoman porte : as extracted from Haedo, Marmol, M. de Tassy, Morgan, etc. : to which are annexed, articles of peace, still subsisting between Great-Britain and that people : in a letter from gentleman in London to his friend in the country».
Alireza Javaheri Inside Volatility Filtering. Secrets of the Skew Alireza Javaheri Inside Volatility Filtering. Secrets of the Skew Новинка

Alireza Javaheri Inside Volatility Filtering. Secrets of the Skew

6489.33 руб.
A new, more accurate take on the classical approach to volatility evaluation Inside Volatility Filtering presents a new approach to volatility estimation, using financial econometrics based on a more accurate estimation of the hidden state. Based on the idea of «filtering», this book lays out a two-step framework involving a Chapman-Kolmogorov prior distribution followed by Bayesian posterior distribution to develop a robust estimation based on all available information. This new second edition includes guidance toward basing estimations on historic option prices instead of stocks, as well as Wiener Chaos Expansions and other spectral approaches. The author's statistical trading strategy has been expanded with more in-depth discussion, and the companion website offers new topical insight, additional models, and extra charts that delve into the profitability of applied model calibration. You'll find a more precise approach to the classical time series and financial econometrics evaluation, with expert advice on turning data into profit. Financial markets do not always behave according to a normal bell curve. Skewness creates uncertainty and surprises, and tarnishes trading performance, but it's not going away. This book shows traders how to work with skewness: how to predict it, estimate its impact, and determine whether the data is presenting a warning to stay away or an opportunity for profit. Base volatility estimations on more accurate data Integrate past observation with Bayesian probability Exploit posterior distribution of the hidden state for optimal estimation Boost trade profitability by utilizing «skewness» opportunities Wall Street is constantly searching for volatility assessment methods that will make their models more accurate, but precise handling of skewness is the key to true accuracy. Inside Volatility Filtering shows you a better way to approach non-normal distributions for more accurate volatility estimation.
John Bell Travels from St. Petersburg in Russia to diverse parts of Asia. Vol. 2 John Bell Travels from St. Petersburg in Russia to diverse parts of Asia. Vol. 2 Новинка

John Bell Travels from St. Petersburg in Russia to diverse parts of Asia. Vol. 2

0 руб.
Полный вариант заголовка: «Travels from St. Petersburg, in Russia, to diverse parts of Asia : Vol. 2 : The continuation of the journey between Mosco and Pekin. To which is added (with special t.p.) a translation of the Journal of Mr. de Lange, resident of Russia at the court of Pekin, in the years 1721 & 1722. A journey from Mosco to Derbent in Persia, in the year 1722. A journey from St. Petersburg to Constantinople in the years 1737 and 1738. : in 2 vol.».
Stefano Iacus M. Option Pricing and Estimation of Financial Models with R Stefano Iacus M. Option Pricing and Estimation of Financial Models with R Новинка

Stefano Iacus M. Option Pricing and Estimation of Financial Models with R

8599.28 руб.
Presents inference and simulation of stochastic process in the field of model calibration for financial times series modelled by continuous time processes and numerical option pricing. Introduces the bases of probability theory and goes on to explain how to model financial times series with continuous models, how to calibrate them from discrete data and further covers option pricing with one or more underlying assets based on these models. Analysis and implementation of models goes beyond the standard Black and Scholes framework and includes Markov switching models, Lévy models and other models with jumps (e.g. the telegraph process); Topics other than option pricing include: volatility and covariation estimation, change point analysis, asymptotic expansion and classification of financial time series from a statistical viewpoint. The book features problems with solutions and examples. All the examples and R code are available as an additional R package, therefore all the examples can be reproduced.
Crime Stories Crime Stories Новинка

Crime Stories

1564 руб.
This collection of five stories brings together a variety of writing styles from the genre of crime writing. From the adventures of the most famous of all detectives, Sherlock Holmes, to the contemporary writings of Ruth Rendell and Alexander McCall Smith, there will a story here to delight everyone.
Churches Of The Church Of England Churches Of The Church Of England Новинка

Churches Of The Church Of England

1780 руб.
A chronological exploration of churches from each of the Church of England's 42 dioceses from parish churches nestled at the heart of village communities to the...
Автор не указан A sketch drawn from the records of the British Factory at St. Petersburg Автор не указан A sketch drawn from the records of the British Factory at St. Petersburg Новинка

Автор не указан A sketch drawn from the records of the British Factory at St. Petersburg

0 руб.
Полный вариант заголовка: «A sketch drawn from the records of the British Factory at St. Petersburg and designed to elucidate the history of that body, from 1716 to 1824...».
Townsend Sue Public Confessions of a Middle-Aged Woman Townsend Sue Public Confessions of a Middle-Aged Woman Новинка

Townsend Sue Public Confessions of a Middle-Aged Woman

816 руб.
This sparkling collection of Sue Townsend's hilarious non-fiction covers everything from hosepipe bans to Spanish restaurants, from writer's block to slug warfare, from slob holidays to the banning of beige.
Vijay Thakur Kumar Handbook of Composites from Renewable Materials, Design and Manufacturing Vijay Thakur Kumar Handbook of Composites from Renewable Materials, Design and Manufacturing Новинка

Vijay Thakur Kumar Handbook of Composites from Renewable Materials, Design and Manufacturing

19795.24 руб.
The Handbook of Composites From Renewable Materials comprises a set of 8 individual volumes that brings an interdisciplinary perspective to accomplish a more detailed understanding of the interplay between the synthesis, structure, characterization, processing, applications and performance of these advanced materials. The handbook covers a multitude of natural polymers/ reinforcement/ fillers and biodegradable materials. Together, the 8 volumes total at least 5000 pages and offers a unique publication. This 2nd volume of the Handbook is solely focused on the Design and Manufacturing of renewable materials. Some of the important topics include but not limited to: design and manufacturing of high performance green composites; manufacturing of high performance biomass-based polyesters by rheological approach; components design of fibrous composite materials; design and manufacturing of bio-based sandwich structures; design and manufacture of biodegradable products from renewable resources; manufacturing and characterization of quicklime filled metal alloy composites for single row deep groove ball bearing; manufacturing of composites from chicken feathers and poly (vinyl chloride); production of porous carbons from resorcinol-formaldehyde gels: applications; composites using agricultural wastes; manufacturing of rice wastes-based natural fiber polymer composites from thermosetting vs. thermoplastic matrices; thermoplastic polymeric composites; natural fiber reinforced PLA composites; rigid closed-cell PUR foams containing polyols derived from renewable resources; preparation and application of the composite from alginate; recent developments in biocomposites of bombyx mori silk fibroin; design and manufacturing of natural fiber/ synthetic fiber reinforced polymer hybrid composites; natural fibre composite strengthening solution for structural beam component for enhanced flexural strength; high pressure resin transfer molding of epoxy resins from renewable sources; cork based structural composites; the use of wheat straw as an agricultural waste in composites for semi-structural applications and design/ manufacturing of sustainable composites.
Cristina Davino Quantile Regression. Theory and Applications Cristina Davino Quantile Regression. Theory and Applications Новинка

Cristina Davino Quantile Regression. Theory and Applications

7698.6 руб.
A guide to the implementation and interpretation of Quantile Regression models This book explores the theory and numerous applications of quantile regression, offering empirical data analysis as well as the software tools to implement the methods. The main focus of this book is to provide the reader with a comprehensive description of the main issues concerning quantile regression; these include basic modeling, geometrical interpretation, estimation and inference for quantile regression, as well as issues on validity of the model, diagnostic tools. Each methodological aspect is explored and followed by applications using real data. Quantile Regression: Presents a complete treatment of quantile regression methods, including, estimation, inference issues and application of methods. Delivers a balance between methodolgy and application Offers an overview of the recent developments in the quantile regression framework and why to use quantile regression in a variety of areas such as economics, finance and computing. Features a supporting website (www.wiley.com/go/quantile_regression) hosting datasets along with R, Stata and SAS software code. Researchers and PhD students in the field of statistics, economics, econometrics, social and environmental science and chemistry will benefit from this book.
Gillain Anne A Companion to François Truffaut Gillain Anne A Companion to François Truffaut Новинка

Gillain Anne A Companion to François Truffaut

15871.04 руб.
The 34 essays of this collection by leading international scholars reassess Truffaut's impact on cinema as they locate the unique quality of his thematic obsessions and his remarkable narrative techniques. Almost 30 years after his death, we are presented with strikingly original perspectives on his background, influences, and importance.Bridges a gap in film scholarship with a series of 34 original essays by leading film scholars that assess the lasting impact of Truffaut’s work Provides striking new readings of individual films, and new perspectives on Truffaut’s background, influences, and importance Offers a wide choice of critical perspectives ranging from current reflections in film theories to articles applying methodologies that have recently been neglected or considered controversial Includes international viewpoints from a range of European countries, and from Japan, New Zealand, and Brazil Draws on Truffaut’s archives at the BiFI (Bibliotheque du film) in Paris Includes an extended interview with French filmmaker Arnaud Desplechin concerning Truffaut’s shifting stature in French film culture and his manner of thought and work as a director

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Features a broad introduction to recent research on Turing’s formula and presents modern applications in statistics, probability, information theory, and other areas of modern data science Turing's formula is, perhaps, the only known method for estimating the underlying distributional characteristics beyond the range of observed data without making any parametric or semiparametric assumptions. This book presents a clear introduction to Turing’s formula and its connections to statistics. Topics with relevance to a variety of different fields of study are included such as information theory; statistics; probability; computer science inclusive of artificial intelligence and machine learning; big data; biology; ecology; and genetics. The author provides examinations of many core statistical issues within modern data science from Turing's perspective. A systematic approach to long-standing problems such as entropy and mutual information estimation, diversity index estimation, domains of attraction on general alphabets, and tail probability estimation is presented in light of the most up-to-date understanding of Turing's formula. Featuring numerous exercises and examples throughout, the author provides a summary of the known properties of Turing's formula and explains how and when it works well; discusses the approach derived from Turing's formula in order to estimate a variety of quantities, all of which mainly come from information theory, but are also important for machine learning and for ecological applications; and uses Turing's formula to estimate certain heavy-tailed distributions. In summary, this book: • Features a unified and broad presentation of Turing’s formula, including its connections to statistics, probability, information theory, and other areas of modern data science • Provides a presentation on the statistical estimation of information theoretic quantities • Demonstrates the estimation problems of several statistical functions from Turing's perspective such as Simpson's indices, Shannon's entropy, general diversity indices, mutual information, and Kullback–Leibler divergence • Includes numerous exercises and examples throughout with a fundamental perspective on the key results of Turing’s formula Statistical Implications of Turing's Formula is an ideal reference for researchers and practitioners who need a review of the many critical statistical issues of modern data science. This book is also an appropriate learning resource for biologists, ecologists, and geneticists who are involved with the concept of diversity and its estimation and can be used as a textbook for graduate courses in mathematics, probability, statistics, computer science, artificial intelligence, machine learning, big data, and information theory. Zhiyi Zhang, PhD, is Professor of Mathematics and Statistics at The University of North Carolina at Charlotte. He is an active consultant in both industry and government on a wide range of statistical issues, and his current research interests include Turing's formula and its statistical implications; probability and statistics on countable alphabets; nonparametric estimation of entropy and mutual information; tail probability and biodiversity indices; and applications involving extracting statistical information from low-frequency data space. He earned his PhD in Statistics from Rutgers University.
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