Modern Applied Statistics with S (Statistics and Computing)

You looking to find the "Modern Applied Statistics with S (Statistics and Computing)" Good news! You can purchase Modern Applied Statistics with S (Statistics and Computing) with secure price and compare to view update price on this product. And deals on this product is available only for limited time.

   

Product Description

S is a powerful environment for the statistical and graphical analysis of data. It provides the tools to implement many statistical ideas that have been made possible by the widespread availability of workstations having good graphics and computational capabilities. This book is a guide to using S environments to perform statistical analyses and provides both an introduction to the use of S and a course in modern statistical methods. Implementations of S are available commercially in S-PLUS(R) workstations and as the Open Source R for a wide range of computer systems. The aim of this book is to show how to use S as a powerful and graphical data analysis system. Readers are assumed to have a basic grounding in statistics, and so the book is intended for would-be users of S-PLUS or R and both students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets. Many of the methods discussed are state of the art approaches to topics such as linear, nonlinear and smooth regression models, tree-based methods, multivariate analysis, pattern recognition, survival analysis, time series and spatial statistics. Throughout modern techniques such as robust methods, non-parametric smoothing and bootstrapping are used where appropriate. This fourth edition is intended for users of S-PLUS 6.0 or R 1.5.0 or later. A substantial change from the third edition is updating for the current versions of S-PLUS and adding coverage of R. The introductory material has been rewritten to emphasis the import, export and manipulation of data. Increased computational power allows even more computer-intensive methods to be used, and methods such as GLMMs, MARS, SOM and support vector machines are considered.

Modern Applied Statistics with S (Statistics and Computing) Review

A worthy update. The authors are matter-of-fact and straightforward. I appreciate their terse style, the broad coverage, and the many examples. It's also good that they're starting to split programming material off into its own monograph (S Programming), making this book all the more appropriate for learning, although not quite beginning, statisticians. Their considerable contribution in software is also very much appreciated.I do not agree at all with the reviewer who chided them for including R; I say so much the better for it. I very much hope that they will continue to do so. Help other customers find the most helpful reviews� Was this review helpful to you? Yes No Report abuse | PermalinkComment Comment

Most of the consumer Reviews tell that the "Modern Applied Statistics with S (Statistics and Computing)" are high quality item. You can read each testimony from consumers to find out cons and pros from Modern Applied Statistics with S (Statistics and Computing) ...