x 495, indexed. Apart from an ownership signature on the front end paper and paste down, a light bump on the tail of the spine strip and minor shelf wear, the book is as new. "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." (back cover) A title in Springer's series 'Statistics and computing'.

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Detalles bibliogr�ficos

T�tulo

Modern Applied Statistics with S Fourth Edition

Editor

Springer, New York N.Y.

Fecha de publicaci�n

2002

Idioma

Ingl�s

ISBN 10

0387954570

ISBN 13

9780387954578

Encuadernaci�n

Pictorial Boards

Edici�n

4� Edici�n

Estado

Near Fine

Cat�logos de vendedores

Environmental Science

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Sinopsis

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 presenting practical problems and full analyses of real data sets.

De la contraportada

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,

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Good Reading was established in 1991. In early 2013, I downsized from a shop which spanned a block and two stories to a largish house which resembles a rabbit warren. There are at approximately 40,000 titles, including over 10,000 books in Italian, French, German, Modern Greek, Latin and classical Greek., most of which have not yet been catalogued. I also have a very large Theology section, and a substantial cookery and Australian History one. Please contact me if there is a specific title you are chasing as it may be languishing on the shelf uncatalogued. All enquiries will be answered promptly, books will be mailed out swaddled like Russian babies, and all faults honestly described. I do a full refund for any book sporting nasty surprises.

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