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Principal Component and Correspondence Analyses Using R

Principal Component and Correspondence Analyses Using R

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

Justice Counts

Justice Counts

The book will cover a range of cases where statistical analyses helped document human rights problems, determine the val......more

Innovative Clinical Trial Designs for Evidence-Based Medicine: Statistical Methods and Healthcare Applications

Innovative Clinical Trial Designs for Evidence-Based Medicine: Statistical Methods and Healthcare Applications

This book focuses on current research and methodologies developed for re-engineering cancer clinical trials and also for......more

Geostatistical Modelling With R

Geostatistical Modelling With R

This book provides a comprehensive reference for solving scientific problems with the generalized linear geostatistical ......more

Environmental Statistics With R

Environmental Statistics With R

Condensed and reorganized, this comprehensive second edition covers most of the statistical methods used in the field an......more

Introduction to Stock Portfolio Management

Introduction to Stock Portfolio Management

Emphasizing the need for knowledge of modern finance theory in portfolio management, this text explains why theory shoul......more

Demystifying Probability and Statistics for Data Scientists with R

Demystifying Probability and Statistics for Data Scientists with R

Data science is a fast-emerging field of study and research. It mainly leverages integrated data analytics platforms, an......more

Demystifying Probability and Statistics for Data Scientists with R

Demystifying Probability and Statistics for Data Scientists with R

Data science is a fast-emerging field of study and research. It mainly leverages integrated data analytics platforms, an......more

Malliavin-skorohod Calculus for Additive Processes With Applications to Finance

Malliavin-skorohod Calculus for Additive Processes With Applications to Finance

The purpose of the book is to present the Malliavin-Skorohod calculus for additive processes, that is, processes with in......more

Data Analysis in Power Bi: Going Deep Into Data Using Visualization

Data Analysis in Power Bi: Going Deep Into Data Using Visualization

Welcome to the first book to explore the powerful tools within Power BI that can enhance and improve your analytical dat......more

Springer Handbook of Reliability

Springer Handbook of Reliability

  • Ingram,出版日期:2026-03-18

This Springer Handbook gathers the broad mix of theoretical and applied reliability knowledge needed for engineers, anal......more

Probability Theory and Stochastic Processes With Applications

Probability Theory and Stochastic Processes With Applications

This second edition has a unique approach that provides a broad and wide introduction into the fascinating area of proba......more

Optimal Transport Networks in Nature

Optimal Transport Networks in Nature

This unique book presents a broad range of data on geometry and topology of long-distance liquid transport networks in n......more

Statistics and Data Handling for Biologists: A Student’s Guide

Statistics and Data Handling for Biologists: A Student’s Guide

An accessible and authoritative introduction to data handling and analysis for biology students--requiring no previous e......more

Statistics and Data Handling for Biologists: A Student’s Guide

Statistics and Data Handling for Biologists: A Student’s Guide

An accessible and authoritative introduction to data handling and analysis for biology students--requiring no previous e......more

Stochastic Analysis: Financial Mathematics with Matlab(r)

Stochastic Analysis: Financial Mathematics with Matlab(r)

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

Statistical Methods in Diagnostic Medicine

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: Scaling Limits of Random Fields with Applications

Anisotropic Scaling of Random Fields with Long-Range Dependence: Scaling Limits of Random Fields with Applications

Anisotropic Scaling of Random Fields with Long-Range Dependence is primarily interested in two questions: are there scal......more

Advanced Variance Reduction Techniques for MCMC

Advanced Variance Reduction Techniques for MCMC

The book is devoted to contemporary variance reduction methods for Monte Carlo and Markov Chain (MCMC) with Machine Lear......more

Statistics for Biological Networks: How to Infer Networks from Data

Statistics for Biological Networks: How to Infer Networks from Data

An introduction to a new paradigm in social, technological, and scientific discourse, this book presents an overview of ......more

Science-based Spatiotemporal Statistics: Practical Guide With Environmental and Human Exposure Applications

Science-based Spatiotemporal Statistics: Practical Guide With Environmental and Human Exposure Applications

This book provides an introduction to the theoretical development and practical methodology of the so-called science-bas......more

Interpreting Ecological Complexity: A Practical Guide to Avoid Becoming a Mistaken Scientist

Interpreting Ecological Complexity: A Practical Guide to Avoid Becoming a Mistaken Scientist

This book illustrates how the choice of relevant data collection and data analysis techniques is critical for a sound an......more

Stochastic Calculus: An Elementary Introduction Emphasizing Applications

Stochastic Calculus: An Elementary Introduction Emphasizing Applications

This text focuses on the parts of stochastic theory that are particularly relevant to applications. It begins with a des......more

Statistical Methods for Directional Data

Statistical Methods for Directional Data

This is a thoroughly revised and updated edition of the earlier research monograph Topics in Circular Statistics by the ......more

Fundamentals of Probability and Statistics for Machine Learning

Fundamentals of Probability and Statistics for Machine Learning

An introductory textbook for undergraduate or beginning graduate students that integrates probability and statistics wit......more

The Book of R, 2nd Edition

The Book of R, 2nd Edition

This long-awaited second edition folds years of updates into its beginner-friendly lessons on using R for data and stati......more

Probability and Statistics for Economics and Business: An Introduction Using R

Probability and Statistics for Economics and Business: An Introduction Using R

A modern introduction to probability and statistics for economics and business undergraduates, using the R programming l......more

Probably Overthinking It: How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions

Probably Overthinking It: How to Use Data to Answer Questions, Avoid Statistical Traps, and Make Better Decisions

An essential guide to the ways data can improve decision making. Statistics are everywhere: in news reports, at the doct......more

The Random Universe: How Models and Probability Help Us Make Sense of the Cosmos

The Random Universe: How Models and Probability Help Us Make Sense of the Cosmos

An award-winning astrophysicist looks at how the understanding of uncertainty and randomness has led to breakthroughs in......more

AI for Business Analytics

AI for Business Analytics

This companion volume to Artificial Intelligence for Everyone offers a comprehensive exploration of AI analytics, cateri......more

Psychology Statistics for Dummies

Psychology Statistics for Dummies

Untangle statistics and make correct, dependable conclusions Psychology Statistics For Dummies, 2nd Edition makes statis......more

Hypocrisy++: On Philosophy of Probability and Sociology of Ideologies

Hypocrisy++: On Philosophy of Probability and Sociology of Ideologies

The first two themes are refined, updated presentations of ideas introduced in the author’s earlier works, The Search fo......more

An Introduction to Information Theory and Probabilistic Inference

An Introduction to Information Theory and Probabilistic Inference

This comprehensive compendium addresses a critical need in the AI and machine learning era by bridging foundational info......more

An Introduction to Information Theory and Probabilistic Inference

An Introduction to Information Theory and Probabilistic Inference

This comprehensive compendium addresses a critical need in the AI and machine learning era by bridging foundational info......more

Risk Sensitive Value Measure Method: A New Method of Project Evaluation

Risk Sensitive Value Measure Method: A New Method of Project Evaluation

What is the most effective method for project evaluation? While the standard Net Present Value (NPV) method is widely us......more

Measurement, Automation, and Control in Artificial Intelligence and Machine Learning

Measurement, Automation, and Control in Artificial Intelligence and Machine Learning

  • Ingram,出版日期:2025-10-11

This book first provides users with the fundamentals of process automation, process automation architecture, and their a......more

Data Clustering with Python: From Theory to Implementation

Data Clustering with Python: From Theory to Implementation

Data clustering, an interdisciplinary field with diverse applications, has gained increasing popularity since its origin......more

Optimization and Learning Via Stochastic Gradient Search

Optimization and Learning Via Stochastic Gradient Search

An introduction to gradient-based stochastic optimization that integrates theory and implementation This book explains g......more

Hierarchical Modeling and Analysis for Spatial Data

Hierarchical Modeling and Analysis for Spatial Data

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 Python

Exploratory and Robust Data Analysis: A Modern Applied Statistics Guide Using SPSS and Python

Exploratory and Robust Data Analysis: A Modern Applied Statistics Guide Using SPSS and R is an essential resource for st......more

Advanced Statistical Analytics for Health Data Science with SAS and R

Advanced Statistical Analytics for Health Data Science with SAS and R

In recent years, there has been a growing emphasis on making statistical methods and analytics accessible to health data......more

Exercises and Solutions in Probability and Statistics

Exercises and Solutions in Probability and Statistics

Hundreds of engaging, class-tested statistics exercises (and detailed solutions) that test student understanding of the ......more

Exercises and Solutions in Probability and Statistics

Exercises and Solutions in Probability and Statistics

Hundreds of engaging, class-tested statistics exercises (and detailed solutions) that test student understanding of the ......more

Stochastic Finance: An Introduction in Discrete Time

Stochastic Finance: An Introduction in Discrete Time

This fifth, newly revised edition of the classical introduction to the mathematics of finance, is based on stochastic mo......more

Advances in Statistical Inference for Processes Driven by Fractional Processes - Inference for Fractional Processes

Advances in Statistical Inference for Processes Driven by Fractional Processes - Inference for Fractional Processes

One of the important problems in studying stochastic phenomena is to develop stochastic models and understand their impl......more

Applied Bayesian Modelling With Jags

Applied Bayesian Modelling With Jags

It remains very difficult to find books appropriate for teaching Bayesian methods to science graduate students. This boo......more

Change Point Analysis: Theory and Application

Change Point Analysis: Theory and Application

Change point analysis is a crucial statistical technique for detecting structural breaks within datasets, applicable in ......more

Displaying Time Series, Spatial, and Space-Time Data with R

Displaying Time Series, Spatial, and Space-Time Data with R

Focusing on the exploration of data with visual methods, "Displaying Time Series, Spatial, and Space-Time Data with R" p......more

Displaying Time Series, Spatial, and Space-Time Data with R

Displaying Time Series, Spatial, and Space-Time Data with R

Focusing on the exploration of data with visual methods, "Displaying Time Series, Spatial, and Space-Time Data with R" p......more

Risk and Predictive Analytics in Business with R

Risk and Predictive Analytics in Business with R

Supply chain operations face many risks, including political, environmental, and economic. The past five years have seen......more

Stability of Markov Chain Monte Carlo Methods

Stability of Markov Chain Monte Carlo Methods

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 Mathematica and Python

Classical Mechanics: A Computational Approach with Examples Using Mathematica and Python

Classical Mechanics: A Computational Approach with Examples using Python and Mathematica provides a unique, contemporary......more

Classical Mechanics: A Computational Approach with Examples Using Mathematica and Python

Classical Mechanics: A Computational Approach with Examples Using Mathematica and Python

Classical Mechanics: A Computational Approach with Examples using Python and Mathematica provides a unique, contemporary......more

Introduction to Bayesian Data Analysis for Cognitive Science

Introduction to Bayesian Data Analysis for Cognitive Science

This book introduces Bayesian data analysis and Bayesian cognitive modeling to students and researchers in cognitive sci......more

Introduction to Bayesian Data Analysis for Cognitive Science

Introduction to Bayesian Data Analysis for Cognitive Science

This book introduces Bayesian data analysis and Bayesian cognitive modeling to students and researchers in cognitive sci......more

Robust Small Area Estimation: Methods, Applications, and Open Problems

Robust Small Area Estimation: Methods, Applications, and Open Problems

In recent years there has been substantial, and growing, interest in small area estimation (SAE) that is largely driven ......more

Mathematical Models of Meaning: A Dynamic Systems Approach to Possible World Semiotics

Mathematical Models of Meaning: A Dynamic Systems Approach to Possible World Semiotics

A mathematical model of meaning that captures the dynamics and diversity of meaning-oriented agents. In Mathematical Mod......more

Biostatistics for Clinical and Public Health Research

Biostatistics for Clinical and Public Health Research

The new edition of Biostatistics for Clinical and Public Health Research is the only introductory workbook to provide no......more

Biostatistics for Clinical and Public Health Research

Biostatistics for Clinical and Public Health Research

The new edition of Biostatistics for Clinical and Public Health Research is the only introductory workbook to provide no......more

New Models and Methods in Dynamic Portfolio Optimization

New Models and Methods in Dynamic Portfolio Optimization

This book presents some new models and methods in the context of dynamical portfolio optimization. It encapsulates the a......more

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