Probability & Statistics

Spatial Regression Models for the Social Sciences shows researchers and students how to work with spatial data without the need for advanced mathem...

Disease Mapping: From Foundations to Multidimensional Modeling guides the reader from the basics of disease mapping to the most advanced topics in ...

The premise of Quality by Design (QbD) is that the quality of the pharmaceutical product should be based upon a thorough understanding of both the ...

What Makes Variables Random: Probability for the Applied Researcher provides an introduction to the foundations of probability that underlie the st...

Analyze Repeated Measures Studies Using Bayesian TechniquesGoing beyond standard non-Bayesian books, Bayesian Methods for Repeated Measures present...

Probability as an Alternative to Boolean LogicWhile logic is the mathematical foundation of rational reasoning and the fundamental principle of com...

Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, mac...

This is truly an outstanding book. [It] brings together all of the latest research in clinical trials methodology and how it can be applied to drug...

This updated and reorganized Third Edition of this textbook takes a workbook-style approach that encourages an active approach to learning statisti...

Requiring no prior knowledge of correspondence analysis, this text provides a nontechnical introduction to Multiple Correspondence Analysis (MCA) a...

This Fifth Edition of Neil J. Salkinds Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel, presents an often intimidatin...

The third edition of this highly regarded text provides a rigorous, yet entertaining, introduction to probability theory and the analytic ideas and...

Praise for the first edition:One of my biggest complaints when I teach introductory statistics classes is that it takes me most of the semester to ...

Handbook of Regression Methods concisely covers numerous traditional, contemporary, and nonstandard regression methods. The handbook provides a bro...

The main challenge in the study of nonautonomous phenomena is to understand the very complicated dynamical behaviour both as a scientific and mathe...

As the availability of high-throughput data-collection technologies, such as information-sensing mobile devices, remote sensing, internet log recor...

On May 8, 2009, the symposium, The Federal Statistical System: Recognizing Its Contributions, Moving It Forward was held in Washington, DC. One of ...

This book is a comprehensive guide to methodologies for analyzing reliability and optimizing maintenance in complex systems, spanning from initial ...

This manual contains completely worked-out solutions for all the odd-numbered exercises in the text. 

This study guide is designed for students taking courses in engineering mathematics and mathematical methods in science. The textbook includes prob...

This book studies data, analytics, and intelligence using Boolean structure. Chapters dive into the theories, foundations, technologies, and method...

This book studies data, analytics, and intelligence using Boolean structure. Chapters dive into the theories, foundations, technologies, and method...

This volume presents a comprehensive compilation of chapters whose topics were presented at the 2nd International Conference on Mathematical Analys...

Multi-valued and fuzzy logics provide mathematical and computational tools for handling imperfect information and decision-making with rational col...

This book delves into dynamic systems modeling, probability theory, stochastic processes, estimation theory, Kalman filters, and game theory. While...

A poverty expert reveals how truly random the world isincluding how economic inequality is experiencedand how we can learn to acknowledge chance an...

This book takes a unique approach to explaining permutation statistical methods for advanced undergraduate students, graduate students, faculty, re...

Self-Controlled Case Series Studies: A Modelling Guide with R provides the first comprehensive account of the self-controlled case series (SCCS) me...

From the Preface: Srinivasa Varadhan began his research career at the Indian Statistical Institute (ISI), Calcutta, where he started as a graduate ...

Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional survival d...

The goal of the 2019 conference on Stochastic Processes and Algebraic Structures held in SPAS2019, Västerås, Sweden, from September 30th to October...

This book aims to explore how to automate, innovate, design, and deploy emerging technologies in Actuarial work transformations for the insurance a...

This is an introductory book on how to optimally analyze non-quantitative data, based on the author's experiences over 60 years of research. The ma...

Designed Experiments for Science and Engineering is a versatile and overarching toolkit that explores various methods of designing experiments for ...

Intermediate Poker Mathematics provides a fascinating collection of mathematical questions set in the diverse world of poker. While it is absolutel...

Intermediate Poker Mathematics provides a fascinating collection of mathematical questions set in the diverse world of poker. While it is absolutel...

This book discusses the theory and practice of random number generators that are useful for computer simulation and computer security applications....

The Deming Conference on Applied Statistics has long been deemed an influential event in the biostatistics and biopharmaceutical profession. It pro...

This volume showcases a collection of thirty-two peer-reviewed articles presented at the XXVI Congress of the Portuguese Statistical Society (2023)...

Pattern theory is a distinctive approach to the analysis of all forms of real-world signals. At its core is the design of a large variety of probab...

Now in its second edition, R by Example is an example-based introduction to the statistical computing environment that does not assume any previous...

This second edition of Applied Multivariate Statistical Concepts covers the classic and cutting-edge multivariate techniques used in todays researc...

For courses in Introductory Statistics. Innovative methods, technology, and humor encourage statistical thinking Intro Stats, 6th Edition by De V...

Using the same accessible, hands-on approach as its best-selling predecessor, the Handbook of Univariate and Multivariate Data Analysis with IBM SP...

Game Theory: A Modeling Approach quickly moves readers through the fundamental ideas of the subject to enable them to engage in creative modeling p...

Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis u...

This book offers a gentle yet rigorous introduction to probability theory, with a special focus on finite probability spaces. Drawing inspiration f...