Mathematical & statistical software books

Now in its second edition, this textbook introduces readers to the IBM SPSS Modeler and guides them through data...  Read More >>

Programming is the process of creating a set of instructions that tell a computer how to perform a task. Programming...  Read More >>

Programming is the process of creating a set of instructions that tell a computer how to perform a task. Programming...  Read More >>

This is the first textbook that allows readers who may be unfamiliar with matrices to understand a variety of multivariate...  Read More >>

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The papers in the book reflect the variety of the talks and derive from research areas including Semigroup Theory,...  Read More >>

​This book covers applications of R to the general discipline of radiation dosimetry and to the specific areas of...  Read More >>

One Rule predictive model though looks simple has been proved to be relatively accurate. The book teaches how to...  Read More >>

This book presents a broad range of applied econometric techniques for environmental econometrics and illustrating...  Read More >>

This book discusses all major topics on survey sampling and estimation. As a large sample size is not cost-efficient,...  Read More >>

Covering recent advances in next-generation computing, the book focuses on recent developments in intelligent computing,...  Read More >>

Stock price analysis involves different methods such as fundamental analysis and technical analysis which is based...  Read More >>

Using R for Bayesian Spatial and Spatio-Temporal Health Modeling provides a major resource for those interested...  Read More >>

In honor of professor and renowned statistician R. Dennis Cook, this festschrift explores his influential contributions...  Read More >>

Bootstrapping is a quite simple statistical technique that can be applied to almost all quantitative methods. The...  Read More >>

This book chronicles a 10-year introduction of blended learning into the delivery at a leading technological university,...  Read More >>

This textbook is designed for an undergraduate course in data science that emphasizes topics in both statistics...  Read More >>

It begins with linear and nonlinear regression for normally distributed data, logistic regression for binomially...  Read More >>

This book brings together the best contributions of the Applied Statistics and Policy Analysis Conference 2019....  Read More >>

This book focuses on key Python analytics and algorithmic trading libraries used for backtesting. With the help...  Read More >>

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Introduces new graph theory techniques for the analysis and integration of multi-type large data sets) in the life...  Read More >>

Now in its second edition, Text Analysis with R provides a practical introduction to computational text analysis...  Read More >>

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This book provides a complete and comprehensive guide to Pyomo (Python Optimization Modeling Objects) for beginning...  Read More >>