Mathematical & Statistical Software

Confidently analyse your organization's HR data using R and R Studio to gain insights that improve people strategy and business decision-making. ...

In providing an in-depth exploration of cutting-edge technologies and how they are used to support data-driven marketing strategies and empower org...

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 ...

This book comprehensively covers various causal mediation analysis (CMA) methods developed across multiple fields, organizing them into a reader-fr...

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...

Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative...

Bootstrapping is a conceptually simple statistical technique to increase the quality of estimates, conduct robustness checks and compute standard e...

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

This book introduces readers to the fundamental concepts of Heart Rate Variability (HRV) and its most important analysis algorithms using a hands-o...

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

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

The world is becoming increasingly complex, with larger quantities of data available to be analyzed. It so happens that much of these big data that...

This book illustrates the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for s...

Unlike the first edition, the new edition has been split into two books.Thoroughly revised and updated, this is the first book of the second editio...

The statistical analysis of extremes is becoming more and more prevalent as we observe increasing levels of variability and turbulence, both in the...

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense...

Introduction to Regression Methods for Public Health Using R teaches regression methods for continuous, binary, ordinal, and time-to-event outcomes...

This book of peer-reviewed short papers on methodological and applied statistics and demography is the fourth of four volumes from the 52nd Scienti...

This book of peer-reviewed short papers on methodological and applied statistics and demography is the third of four volumes from the 52nd Scientif...

This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical softw...

This edited book is the first one written in English that deals comprehensively with behavior metrics. The term behaviormetrics comprehends the res...

Deep learning has significantly reshaped a variety of technologies, such as image processing, natural language processing, and audio processing. Th...

The fun and easy way to learn to use this leading business intelligence tool Written by an author team who is directly involved with SAS, this eas...

Truly Concurrent Process Algebra with Localities introduces localities into truly concurrent process algebras. The book explores all aspects of loc...

This one-of-a-kind volume explores the most recent advancements in biostatistics and its applications. Among the chapters included are both origina...

This book, Statistical Modeling and Computation, provides a unique introduction to modern statistics from both classical and Bayesian perspectives....

This book is designed to provide a comprehensive introduction to R programming for data analysis, manipulation and presentation. It covers fundamen...

This book presents an up-to-date, accessible, and authoritative look into the rapidly emerging study of statistical adaptive design. Employing the ...

This textbook offers a practical and engaging introduction to spatial econometric modelling, detailing the key models, methodologies and tools requ...