A guide to using S-Plus to perform statistical analyses, serving as both an introduction to the use of S-Plus and as a course in modern statistical methods. The experienced ...

A guide to using S environments to perform statistical analyses providing both an introduction to the use of S and a course in modern statistical methods. The emphasis is on ...

Proven bestseller: almost 6000 copies sold in the U.S. in two editions New edition updated to cover S-PLUS 6.0 Can be used as an introduction to R, as well as S-PLUS New ...

Written by the bestselling authors of "Modern Applied Statistics with S-Plus", this book provides an in-depth guide to writing software in the S language under the commercial S ...

This book represents the refereed proceedings of the Fourth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing which was held at Hong ...

Many books teach computational statistics. Until now, however, none has shown how to write a good program. This book gives statisticians, biostatisticians and methodologically ...

This book is for people who want to learn probability and statistics quickly. It brings together many of the main ideas in modern statistics in one place. The book is suitable ...

Non-uniform random variate generation is an established research area in the intersection of mathematics, statistics and computer science. Although random variate generation ...

This Bayesian modeling book provides the perfect entry for gaining a practical understanding of Bayesian methodology. It focuses on standard statistical models and is backed up ...

This book presents a wide array of methods applicable for reading data into R, and efficiently manipulating that data. In addition to the built-in functions, a number of ...