Mathematical & statistical software books

There is a dearth of resources for data scientists, statisticians, etc., wishing to learn about Julia. Using well...  Read More >>

Basic optimization principles are presented with emphasis on gradient-based numerical optimization strategies and...  Read More >>

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Data Munging with R shows readers how to take raw data and transform it for use in computations, tables, graphs,...  Read More >>

Providing students with what they need to know in order to conduct data analysis in SPSS, this text provides sample...  Read More >>

Covers material typically presented in an intermediate statistics course at the undergraduate level and a first...  Read More >>

This book explores inductive inference using the minimum message length (MML) principle, a Bayesian method which...  Read More >>

This textbook addresses postgraduate students in applied mathematics, probability, and statistics, as well as computer...  Read More >>

This book provides insights into important new developments in the area of statistical quality control and critically...  Read More >>

"This book was written to provide guidance for those who need to apply statistical methods for practical use. While...  Read More >>

Must-have study guide for the SAS(R) Certified Statistical Business Analyst Using SAS(R)9: Regression and Modeling...  Read More >>

There is a dearth of resources for data scientists, statisticians, etc., wishing to learn about Julia. Using well...  Read More >>

The Integrated Nested Laplace Approximation is a popular method for approximate Bayesian inference. INLA is an alternative...  Read More >>

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An accessible primer on how to create effective graphics from dataThis book provides students and researchers a...  Read More >>

This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software....  Read More >>

The book provides instruction on using R programming language to analyze spatial data from research in ecology,...  Read More >>

This easy-to-follow applied book on semiparametric regression methods using R is intended to close the gap between...  Read More >>

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This book provides practical applications of doubly classified models by using R syntax to generate the models....  Read More >>