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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

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

Big Data Science for Criminology and the Social Sciences: From Case Studies to Theory

Big Data Science for Criminology and the Social Sciences: From Case Studies to Theory

There is an increasing prevalence of large and complex datasets within the social sciences, and notably criminology in r......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

Probabilistic Risk Analysis and Bayesian Decision Theory: With Applications in the Environmental Sciences

Probabilistic Risk Analysis and Bayesian Decision Theory: With Applications in the Environmental Sciences

The book shows how risk, defined as the statistical expectation of loss, can be formally decomposed as the product of tw......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

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

Geostatistical Modelling With R

Geostatistical Modelling With R

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

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

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

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

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

To Think Like a Statistician

To Think Like a Statistician

Why you don’t need to be a statistician to think like one A fire hose of information bombards us every day, and some of ......more

Making Statistics Work: Information Theory and Bayesian Inference

Making Statistics Work: Information Theory and Bayesian Inference

Conventional "frequentist" methods that dominate the field of statistics are generally inconsistent and liable to catast......more

Making Statistics Work: Information Theory and Bayesian Inference

Making Statistics Work: Information Theory and Bayesian Inference

Conventional "frequentist" methods that dominate the field of statistics are generally inconsistent and liable to catast......more

The Art of Data Visualization with Ggplot2: The Tidytuesday Cookbook

The Art of Data Visualization with Ggplot2: The Tidytuesday Cookbook

Data visualization can be a very effective and efficient means of communicating information. Visualizing data typically ......more

The Art of Data Visualization with Ggplot2: The Tidytuesday Cookbook

The Art of Data Visualization with Ggplot2: The Tidytuesday Cookbook

Data visualization can be a very effective and efficient means of communicating information. Visualizing data typically ......more

AP Statistics Premium, 2027: 9 Practice Tests + Comprehensive Review + Online Practice

AP Statistics Premium, 2027: 9 Practice Tests + Comprehensive Review + Online Practice

PREP SMARTER WITH BARRON’S. Barron’s AP Statistics Premium, 2027 delivers 9 full-length practice tests and in-depth revi......more

Explainable Large Language Models in Healthcare Applications

Explainable Large Language Models in Healthcare Applications

  • Ingram,出版日期:2026-07-06

This is a comprehensive book that explores how explainable artificial intelligence (XAI), particularly large language mo......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

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

Handbook of Statistics of Extremes

Handbook of Statistics of Extremes

  • Ingram,出版日期:2026-07-02

Statistics of extremes is a prominent field of research concerned with modeling the risk of occurrence of extreme events......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

In All Likelihood: Statistical Modelling and Inference Using Likelihood

In All Likelihood: Statistical Modelling and Inference Using Likelihood

This new, updated second edition of In All Likelihood explores the central role of likelihood in a wide spectrum of stat......more

In All Likelihood: Statistical Modelling and Inference Using Likelihood

In All Likelihood: Statistical Modelling and Inference Using Likelihood

This new, updated second edition of In All Likelihood explores the central role of likelihood in a wide spectrum of stat......more

All of Regression

All of Regression

This comprehensive modern look at regression covers a wide range of topics and relevant contemporary applications, going......more

Longitudinal Analysis of Real World Time-To-Event Data in Health Care: Big Data Approach Using R

Longitudinal Analysis of Real World Time-To-Event Data in Health Care: Big Data Approach Using R

This book presents a practical approach for researchers seeking to analyse patient data over time. It serves as a compre......more

Statistical Inference Based on the Density Power Divergence: The Robustness Perspective

Statistical Inference Based on the Density Power Divergence: The Robustness Perspective

All scientists, researchers and data analysts, who handle real data as part of their scientific explorations, have, from......more

The Art of Uncertainty: How to Navigate Chance, Ignorance, Risk and Luck

The Art of Uncertainty: How to Navigate Chance, Ignorance, Risk and Luck

How dangerous is our diet? How much of sports falls into the realm of luck? When authorities categorize a given event as......more

Environmental Modelling with Contemporary Statistics: Learning, Directionality, and Space-Time Dynamics

Environmental Modelling with Contemporary Statistics: Learning, Directionality, and Space-Time Dynamics

  • Ingram,出版日期:2026-06-17

This book places an emphasis upon statistical methodology, data interpretation, and futureproofing with the intention of......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

AI for Time Series: Building Robust and Generalizable Models

AI for Time Series: Building Robust and Generalizable Models

  • Ingram,出版日期:2026-06-12

This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution......more

AI for Time Series: Building Robust and Generalizable Models

AI for Time Series: Building Robust and Generalizable Models

  • Ingram,出版日期:2026-06-12

This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution......more

Algorithmic Trading Via Ai/Machine Learning with R

Algorithmic Trading Via Ai/Machine Learning with R

Algorithmic Trading via AI/Machine Learning with R aims to demonstrate how algorithmic trading can empower retail trader......more

Algorithmic Trading Via Ai/Machine Learning with R

Algorithmic Trading Via Ai/Machine Learning with R

Algorithmic Trading via AI/Machine Learning with R aims to demonstrate how algorithmic trading can empower retail trader......more

Essential Statistics, Regression, and Econometrics

Essential Statistics, Regression, and Econometrics

Essential Statistics, Regression, and Econometrics, Third Edition, is intended to help students in an introductory stati......more

Foundations of Bayesian Statistics for Data Scientists: With R and Python

Foundations of Bayesian Statistics for Data Scientists: With R and Python

This book is an overview of the Bayesian approach to applying the most important inferential methods of statistical scie......more

Foundations of Bayesian Statistics for Data Scientists: With R and Python

Foundations of Bayesian Statistics for Data Scientists: With R and Python

This book is an overview of the Bayesian approach to applying the most important inferential methods of statistical scie......more

Speed: How It Explains the World

Speed: How It Explains the World

A data-driven, scientific account of our need for speed--exploring a wide range of topics including evolution, transport......more

Inference in Statistical Modelling and Machine Learning: A Concise Introduction

Inference in Statistical Modelling and Machine Learning: A Concise Introduction

Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, disc......more

Inference in Statistical Modelling and Machine Learning: A Concise Introduction

Inference in Statistical Modelling and Machine Learning: A Concise Introduction

Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, disc......more

Measure Theory and Integration

Measure Theory and Integration

This book offers a rigorous, comprehensive, and modern presentation of the most traditional concepts in measure theory a......more

Statistics and Faith: A Christian Guide to Telling the Truth with Data

Statistics and Faith: A Christian Guide to Telling the Truth with Data

Bringing Integrity to the Stories Numbers Tell When we tell stories with numbers, we depend on the field of statistics--......more

AI for Time Series: Volume 1: Unlocking Patterns with Deep Learning

AI for Time Series: Volume 1: Unlocking Patterns with Deep Learning

  • Ingram,出版日期:2026-05-22

This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution......more

AI for Time Series: Volume 1: Unlocking Patterns with Deep Learning

AI for Time Series: Volume 1: Unlocking Patterns with Deep Learning

  • Ingram,出版日期:2026-05-22

This book provides a thorough exploration of the latest innovations in AI for general time series analysis, distribution......more

Master Protocol Clinical Trials for Evidence Generation: Strategies, Designs, Operations, and Case Studies

Master Protocol Clinical Trials for Evidence Generation: Strategies, Designs, Operations, and Case Studies

  • Ingram,出版日期:2026-05-20

Drug development is at a crossroads. As personalized medicine and targeted therapies expand, traditional clinical trial ......more

Master Protocol Clinical Trials for Evidence Generation: Strategies, Designs, Operations, and Case Studies

Master Protocol Clinical Trials for Evidence Generation: Strategies, Designs, Operations, and Case Studies

  • Ingram,出版日期:2026-05-20

Drug development is at a crossroads. As personalized medicine and targeted therapies expand, traditional clinical trial ......more

Statistical Decision Theory in Perception and Cognition: Signal Detection and General Recognition Theories

Statistical Decision Theory in Perception and Cognition: Signal Detection and General Recognition Theories

A comprehensive survey of the dominant methods for separating perceptual from decisional effects and for studying percep......more

Practical Statistics in Medicine with R: Understanding Fundamental Concepts Through Examples

Practical Statistics in Medicine with R: Understanding Fundamental Concepts Through Examples

Whether you’re new to statistical analysis or looking to enhance your analytical skills with the R programming language,......more

Practical Statistics in Medicine with R: Understanding Fundamental Concepts Through Examples

Practical Statistics in Medicine with R: Understanding Fundamental Concepts Through Examples

Whether you’re new to statistical analysis or looking to enhance your analytical skills with the R programming language,......more

Modelling Practical Problems in Complex Systems: Simulation, Forecasting and Management

Modelling Practical Problems in Complex Systems: Simulation, Forecasting and Management

Complex systems -- characterized by self-organization, emergence, and profound non-linearity -- govern everything from g......more

What’s the Question?: Deciding What You Really Want to Know

What’s the Question?: Deciding What You Really Want to Know

Statistics and data science aim to extract understanding from data and guide decision-making. However, before applying a......more

What’s the Question?: Deciding What You Really Want to Know

What’s the Question?: Deciding What You Really Want to Know

Statistics and data science aim to extract understanding from data and guide decision-making. However, before applying a......more

Bayesian Survival, Longitudinal, and Joint Models with Inla

Bayesian Survival, Longitudinal, and Joint Models with Inla

This book provides a comprehensive and practical guide to fitting complex Bayesian survival, longitudinal and joint mode......more

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