S-PLUS is a very popular statistical program for statistical researchers and data analysts. The program is available on both UNIX and Windows platforms.
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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,
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Taschenbuch. Zustand: Neu. Modern Applied Statistics with S | B. D. Ripley (u. a.) | Taschenbuch | xii | Englisch | 2010 | Springer US | EAN 9781441930088 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Artikel-Nr. 107174158
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Taschenbuch. Zustand: Neu. Neuware -S is a powerful environment for the statistical and graphical analysisof data. It provides the tools to implement many statistical ideasthat have been made possible by the widespread availability ofworkstations having good graphics and computational capabilities. Thisbook is a guide to using S environments to perform statisticalanalyses and provides both an introduction to the use of S and acourse in modern statistical methods. Implementations of S areavailable commercially in S-PLUS(R) workstations and as the OpenSource R for a wide range of computer systems.The aim of this book is to show how to use S as a powerful andgraphical data analysis system. Readers are assumed to have a basicgrounding in statistics, and so the book is intended for would-beusers of S-PLUS or R and both students and researchers usingstatistics. Throughout, the emphasis is on presenting practicalproblems and full analyses of real data sets. Many of the methodsdiscussed are state of the art approaches to topics such as linearnonlinear and smooth regression models, tree-based methodsmultivariate analysis, pattern recognition, survival analysis, timeseries and spatial statistics. Throughout modern techniques such asrobust methods, non-parametric smoothing and bootstrapping are usedwhere appropriate.This fourth edition is intended for users of S-PLUS 6.0 or R 1.5.0 orlater. A substantial change from the third edition is updating for thecurrent versions of S-PLUS and adding coverage of R. The introductorymaterial has been rewritten to emphasis the import, export andmanipulation of data. Increased computational power allows even morecomputer-intensive methods to be used, and methods such as GLMMs,Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 512 pp. Englisch. Artikel-Nr. 9781441930088
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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, Artikel-Nr. 9781441930088
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