Modern Applied Statistics with S

Name: Modern Applied Statistics with S
Brand: Springer-Verlag New York Inc.
SKU: 9780387954578
Price: 180.31 EUR
Availability: InStock

Autor: William N. Venables, Brian D. Ripley

Jazyk:

Väzba: Pevná

Vydavateľ: Springer-Verlag New York Inc.

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180.31 €

S is a powerful environment for the statistical and graphical analysis §of data. It provides the too...

Informácie o knihe

Autor

William N. Venables, Brian D. Ripley

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2003

Stránok

498

EAN

9780387954578

ISBN

0387954570

Enbook ID

04446831

Vydavateľ

Springer-Verlag New York Inc.

Hmotnosť

936

Rozmery

165 x 239 x 37

Kompletný popis

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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