Fills a void in the literature for how to do PCA and CA with R, a wildly popular and open source software All analyses u......more
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The book will cover a range of cases where statistical analyses helped document human rights problems, determine the val......more
This book focuses on current research and methodologies developed for re-engineering cancer clinical trials and also for......more
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This book provides a comprehensive reference for solving scientific problems with the generalized linear geostatistical ......more
Condensed and reorganized, this comprehensive second edition covers most of the statistical methods used in the field an......more
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Emphasizing the need for knowledge of modern finance theory in portfolio management, this text explains why theory shoul......more
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Data science is a fast-emerging field of study and research. It mainly leverages integrated data analytics platforms, an......more
Data science is a fast-emerging field of study and research. It mainly leverages integrated data analytics platforms, an......more
The purpose of the book is to present the Malliavin-Skorohod calculus for additive processes, that is, processes with in......more
Welcome to the first book to explore the powerful tools within Power BI that can enhance and improve your analytical dat......more
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This Springer Handbook gathers the broad mix of theoretical and applied reliability knowledge needed for engineers, anal......more
This second edition has a unique approach that provides a broad and wide introduction into the fascinating area of proba......more
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This unique book presents a broad range of data on geometry and topology of long-distance liquid transport networks in n......more
An accessible and authoritative introduction to data handling and analysis for biology students--requiring no previous e......more
An accessible and authoritative introduction to data handling and analysis for biology students--requiring no previous e......more
Stochastic analysis is a complex field, and this book aims to provide a detailed coverage of it. The book is intended to......more
Statistical Methods in Diagnostic Medicine provides a comprehensive account of statistical methods for the design and an......more
Anisotropic Scaling of Random Fields with Long-Range Dependence is primarily interested in two questions: are there scal......more
The book is devoted to contemporary variance reduction methods for Monte Carlo and Markov Chain (MCMC) with Machine Lear......more
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An introduction to a new paradigm in social, technological, and scientific discourse, this book presents an overview of ......more
This book provides an introduction to the theoretical development and practical methodology of the so-called science-bas......more
This book illustrates how the choice of relevant data collection and data analysis techniques is critical for a sound an......more
This text focuses on the parts of stochastic theory that are particularly relevant to applications. It begins with a des......more
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This is a thoroughly revised and updated edition of the earlier research monograph Topics in Circular Statistics by the ......more
An introductory textbook for undergraduate or beginning graduate students that integrates probability and statistics wit......more
This long-awaited second edition folds years of updates into its beginner-friendly lessons on using R for data and stati......more
A modern introduction to probability and statistics for economics and business undergraduates, using the R programming l......more
An essential guide to the ways data can improve decision making. Statistics are everywhere: in news reports, at the doct......more
An award-winning astrophysicist looks at how the understanding of uncertainty and randomness has led to breakthroughs in......more
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This companion volume to Artificial Intelligence for Everyone offers a comprehensive exploration of AI analytics, cateri......more
Untangle statistics and make correct, dependable conclusions Psychology Statistics For Dummies, 2nd Edition makes statis......more
The first two themes are refined, updated presentations of ideas introduced in the author’s earlier works, The Search fo......more
This comprehensive compendium addresses a critical need in the AI and machine learning era by bridging foundational info......more
This comprehensive compendium addresses a critical need in the AI and machine learning era by bridging foundational info......more
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What is the most effective method for project evaluation? While the standard Net Present Value (NPV) method is widely us......more
This book first provides users with the fundamentals of process automation, process automation architecture, and their a......more
Data clustering, an interdisciplinary field with diverse applications, has gained increasing popularity since its origin......more
An introduction to gradient-based stochastic optimization that integrates theory and implementation This book explains g......more
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Hierarchical Modeling and Analysis for Spatial Data, Third Edition presents a comprehensive and up-to-date treatment of ......more
Exploratory and Robust Data Analysis: A Modern Applied Statistics Guide Using SPSS and R is an essential resource for st......more
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In recent years, there has been a growing emphasis on making statistical methods and analytics accessible to health data......more
Hundreds of engaging, class-tested statistics exercises (and detailed solutions) that test student understanding of the ......more
Hundreds of engaging, class-tested statistics exercises (and detailed solutions) that test student understanding of the ......more
This fifth, newly revised edition of the classical introduction to the mathematics of finance, is based on stochastic mo......more
One of the important problems in studying stochastic phenomena is to develop stochastic models and understand their impl......more
It remains very difficult to find books appropriate for teaching Bayesian methods to science graduate students. This boo......more
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Change point analysis is a crucial statistical technique for detecting structural breaks within datasets, applicable in ......more
Focusing on the exploration of data with visual methods, "Displaying Time Series, Spatial, and Space-Time Data with R" p......more
Focusing on the exploration of data with visual methods, "Displaying Time Series, Spatial, and Space-Time Data with R" p......more
Supply chain operations face many risks, including political, environmental, and economic. The past five years have seen......more
This book presents modern techniques for the analysis of Markov chain Monte Carlo (MCMC) methods. A central focus is the......more
Classical Mechanics: A Computational Approach with Examples using Python and Mathematica provides a unique, contemporary......more
Classical Mechanics: A Computational Approach with Examples using Python and Mathematica provides a unique, contemporary......more
This book introduces Bayesian data analysis and Bayesian cognitive modeling to students and researchers in cognitive sci......more
This book introduces Bayesian data analysis and Bayesian cognitive modeling to students and researchers in cognitive sci......more
In recent years there has been substantial, and growing, interest in small area estimation (SAE) that is largely driven ......more
A mathematical model of meaning that captures the dynamics and diversity of meaning-oriented agents. In Mathematical Mod......more
The new edition of Biostatistics for Clinical and Public Health Research is the only introductory workbook to provide no......more
The new edition of Biostatistics for Clinical and Public Health Research is the only introductory workbook to provide no......more
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This book presents some new models and methods in the context of dynamical portfolio optimization. It encapsulates the a......more