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Download Modern Applied Statistics with S-PLUS (Statistics and Computing) (v. 1) djvu

by W.N. Venables

Author:	W.N. Venables
Subcategory:	Mathematics
Language:	English
Publisher:	Springer; 3rd edition (June 8, 2001)
Pages:	501 pages
Category:	Math and Science
Rating:	4.3
Other formats:	mbr lit azw docx

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S-PLUS for Windows comes with a GUI shown in Figure . on page 458.

by W. N. Venables and B. D. Ripley. This book is about the modern developments in applied statistics that have been made possible by the widespread availability of workstations with high-resolution graphics and ample computational power. Workstations need software, and the S1 system developed at Bell Laboratories (Lucent Technologies, formerly AT&T) provides a very ex-ible and powerful environment in which to implement new statistical ideas. S-PLUS for Windows comes with a GUI shown in Figure .

Modern Applied Statistics With S meets its goal of serving as an introduction to S for new users, as well as. .I have not worked through any of these topics in the book.

Modern Applied Statistics With S meets its goal of serving as an introduction to S for new users, as well as a reference and resource for those with more S experience. Journal of the American Statistical Association, December 2005. Overall I find Modern Applied Statistics with S to be an excellent book, invaluable if one is using R (I don't have S-Plus) as the vehicle for analyses. 6 people found this helpful.

Statistics and Computing Statistics,Computing Venables,W. Modern Applied Statistics With S meets its goal of serving as an introduction to S for new users, as well as a reference and resource for those with more S experience. Modern Applied Statistics with S. Authors: Venables, .

Prime Book Box for Kids. Story time just got better with Prime Book Box, a subscription that delivers hand-picked children’s books every 1, 2, or 3 months. this is the 'bible' of numerous statistician using Splus or R. Ripley and Venables are two of the builders of S/Splus and they're still involved in many projects regarding this topic. 13 people found this helpful.

S-PLUS is a powerful environment for the statistical and graphical analysis of data

S-PLUS is a powerful environment for the statistical and graphical analysis of data. It provides the tools to implement many statistical ideas which have been made possible by the widespread availability of workstations having good graphics and computational capabilities. This book is a guide to using S-PLUS to perform statistical analyses and provides both an introduction to the use of S-PLUS and a course in modern statistical methods. ISBN 0-387-95457-0, 2002. 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.

Series: Statistics and Computing. Other readers will always be interested in your opinion of the books you've read. Whether you've loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them. File: PDF, 1. 6 MB. Читать онлайн. 1. Population Forecasting 1895–1945: The Transition to Modernity.

Modern applied statistics with S-PLUS, . By: Venables, W. Contributor(s): Ripley, Brian D, 1952-. Material type: BookSeries: Statistics and computing. Subject(s): Statistics - Data processing Mathematical statistics - Data processingDDC classification: 00. 69. Tags from this library: No tags from this library for this title.

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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.

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