Mathematical & statistical software books

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Real-world problems and data sets are the backbone of Ravindra Khattree and Dayanand Naik's Applied Multivariate...  Read More >>

Analysis of Clinical Trials Using SAS: A Practical Guide, Second Edition bridges the gap between modern statistical...  Read More >>

This comprehensive resource provides on-the-job training for statistical programmers who use SAS in the pharmaceutical...  Read More >>

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The rmarkdown package has steadily evolved into a relatively complete ecosystem for authoring documents. This book...  Read More >>

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis...  Read More >>

This Open Access handbook published at the IAMG's 50th anniversary, presents a compilation of invited path-breaking...  Read More >>

Hash tables can do a lot more than you might think! Data Management Solutions Using SAS Hash Table Operations: A...  Read More >>

This uniquely accessible book helps readers use CABology to solve real-world business problems and drive real competitive...  Read More >>

The book also sheds light on common misconceptions in applying measurement models, and presents an integrated approach...  Read More >>

This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the...  Read More >>

This new edition includes the latest advances and developments in computational probability involving A Probability...  Read More >>

This book focuses on the application and development of information geometric methods in the analysis, classification...  Read More >>

This focuses on the developing field of building probability models with the power of symbolic algebra systems....  Read More >>

Learn to program SAS by example! Learning SAS by Example, A Programmer's Guide, Second Edition, teaches SAS programming...  Read More >>

Learning SAS by Example, A Programmer's Guide, Second Edition, teaches SAS programming from very basic concepts...  Read More >>

This book presents a systematic explanation of the SIML (Separating Information Maximum Likelihood) method, a new...  Read More >>

Lastly, the book addresses the applications of asymmetric kernel estimation and testing to various forms of nonnegative...  Read More >>

This book provides frequently studied and used machines together with soft computing methods such as evolutionary...  Read More >>

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This book offers an introduction to computer programming, numerical analysis, and other mathematical ideas that...  Read More >>

This book offers a collection of recent contributions and emerging ideas in the areas of robust statistics presented...  Read More >>