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Modern Applied Statistics with S by W. N., Ripley, B. D. Venables - livre d'occasion

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Modern Applied Statistics with S Fourth Edition - edition reliée, livre de poche

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ISBN: 9780387954578

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 pr… Plus…

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Modern Applied Statistics with S W.N. Venables Author

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.

Informations détaillées sur le livre - Modern Applied Statistics with S W.N. Venables Author


EAN (ISBN-13): 9780387954578
ISBN (ISBN-10): 0387954570
Version reliée
Livre de poche
Date de parution: 2002
Editeur: Springer New York Core >2 >T
495 Pages
Poids: 0,882 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2007-06-06T08:07:28+02:00 (Zurich)
Page de détail modifiée en dernier sur 2024-01-11T11:34:33+01:00 (Zurich)
ISBN/EAN: 9780387954578

ISBN - Autres types d'écriture:
0-387-95457-0, 978-0-387-95457-8
Autres types d'écriture et termes associés:
Auteur du livre: ripley william, venables, brian, using multivariate statistics
Titre du livre: computing with, modern applied statistics with, have never been modern, venables, all statistics, modern englisch


Données de l'éditeur

Auteur: W.N. Venables; B.D. Ripley
Titre: Statistics and Computing; Modern Applied Statistics with S
Editeur: Springer; Springer US
498 Pages
Date de parution: 2002-08-12
New York; NY; US
Langue: Anglais
181,89 € (DE)
186,99 € (AT)
201,00 CHF (CH)
Available
XII, 498 p.

BB; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Bootstrapping; Cluster analysis; Estimator; Factor analysis; Fitting; Generalized linear model; STATISTICA; Survival analysis; Time series; best fit; classification; data analysis; linear regression; Probability Theory; Computational Mathematics and Numerical Analysis; Mathematical Software; Statistics and Computing; Statistical Theory and Methods; Stochastik; Numerische Mathematik; Mathematische und statistische Software; BC; EA; BC

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,
Includes supplementary material: sn.pub/extras

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