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...