Statistics And Computing Modern Applied Statistics With S-Plus, Second Edition

Venables, W. N.; Ripley, B. D.

ISBN 10: 0387982140 / ISBN 13: 9780387982144

Edité par Springer, New York

A propos de cet article

2nd Edition, 1998 corrected 2nd printing. Like New / Fine condition. The covers look great. The binding is tight. The interior pages are clean and unmarked. There is a small abrasion to the front flyleaf. USPS electronic tracking number issued free of charge.

N° de réf. du vendeur 11450

Détails bibliographiques

• Titre: Statistics And Computing Modern Applied Statistics With S-Plus, Second Edition
• Éditeur: Springer, New York
• Langue: anglais
• ISBN à 10 chiffres: 0387982140
• ISBN à 13 chiffres: 9780387982144
• Reliure: Hardcover
• Édition: 2nd Edition.
• État de l'article: As New
• État de la jaquette: No Jacket
• Catalogues du vendeur:
  • Engineering

A propos de ce titre

Synopsis

S-PLUS 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-PLUS to perform statistical analyses and provides both an introduction to the use of S-PLUS and a course In modern statistical methods. S-PLUS is available for both Windows and UNIX workstations, and both versions are covered in depth. The aim of the book is to show how to use S-PLUS as a powerful and graphical system. Readers are assumed to have a basic grounding in statistics, and so the book is intended for would-be users of S-PLUS 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 and nonlinear regression models, robust and smooth regression methods, survival analysis, multivariate analysis, tree-based methods, time series, spatial statistics and classification. This second edition is intended for users of S-PLUS 3.3, 3.4, 4.0 or later. It covers the recent developments in graphics and new statistical functionality, including bootstrapping, mixed effects linear and nonlinear models, factor analysis and regression with autocorrelated errors. The material on S-PLUS programming has been rewritten to explain the full story behind the object-oriented programming features. The authors have written several software libraries that enhance S-PLUS ; these and all the datasets used are available on the Internet in versions for Windows and UNIX. There are also on-line complements covering advanced material, further exercises and new features of S-PLUS as they are introduced.

À propos de l?auteur

Dr. VEANBLES is Head of Department and Senior Lecturer at the Department of Statistics, University of Adelaide, and has given many short courses on S-PLUS in Australia, Europe and the USA. Professor RIPLEY holds the Chair of Applied Statistics at the University of Oxford, and is the author of four other books on spatial statistics, simulation, pattern recognition and neural networks.