Mathematical & statistical software books

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This is a new edition of the accessible and student-friendly ′how to′ for anyone using R for the first time, for...  Read More >>

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

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

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

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

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

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

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

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

This volume features original contributions and invited review articles on mathematical statistics, statistical...  Read More >>

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

Discover the power of mixed models with SAS. Mixed models-now the mainstream vehicle for analyzing most research...  Read More >>

Discover the power of mixed models with SAS. Mixed models-now the mainstream vehicle for analyzing most research...  Read More >>

This book provides a groundbreaking introduction to the likelihood inference for correlated survival data via the...  Read More >>

Advanced Regression Models with SAS and R exposes the reader to the modern world of regression analysis. The material...  Read More >>

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

Arguably the strongest addition to numerical finance of the past decade, Algorithmic Adjoint Differentiation (AAD)...  Read More >>

This book discusses recent developments in mathematical programming and game theory, and the application of several...  Read More >>

You want to learn Machine Learning and Deep Learning with Python, Scikit-Learn, Tenserflow and you don't know how...  Read More >>

This is the 3rd edition of the book. All the code sections are formatted with fixed-width font Consolas for better...  Read More >>

Com 10 anos de experiência em Scilab, o autor explana nessa obra os principais usos deste programa Open Source para...  Read More >>