Téléchargez le livre : Applied Smoothing Techniques for Data Analysis

Applied Smoothing Techniques for Data Analysis

The Kernel Approach with S-Plus Illustrations

,

Éditeur :

OUP Oxford

Paru le : 1997-08-14

The book describes the use of smoothing techniques in statistics, including both density estimation and nonparametric regression. Considerable advances in research in this area have been made in recent years. The aim of this text is to describe a variety of ways in which these methods can be applied...
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Description du livre

The book describes the use of smoothing techniques in statistics, including both density estimation and nonparametric regression. Considerable advances in research in this area have been made in recent years. The aim of this text is to describe a variety of ways in which these methods can be applied to practical problems in statistics. The role of smoothing techniques in exploring data graphically is emphasised, but the use of nonparametric curves in drawing conclusions from data, as an extension of more standard parametric models, is also a major focus of the book. Examples are drawn from a wide range of applications. The book is intended for those who seek an introduction to the area, with an emphasis on applications rather than on detailed theory. It is therefore expected that the book will benefit those attending courses at an advanced undergraduate, or postgraduate, level, as well as researchers, both from statistics and from other disciplines, who wish to learn about and apply these techniques in practical data analysis. The text makes extensive reference to S-Plus, as a computing environment in which examples can be explored. S-Plus functions and example scripts are provided to implement many of the techniques described. These parts are, however, clearly separate from the main body of text, and can therefore easily be skipped by readers not interested in S-Plus.

À propos

Auteur
Adelchi Azzalini , Adrian W. Bowman
Éditeur
OUP Oxford
Collection
n.c
Parution
1997-08-14
Pages
n.c
EAN papier
9780191545696

Auteur(s) du livre


Defaut-Illustration Adelchi Azzalini
Defaut-Illustration Adrian W. Bowman
Professor Adrian Bowman, Department of Statistics, University of Glasgow, Glasgow, G12 8QQ, Scotland, U.K. Tel: 0141-330- 4046, Fax: 0141-330-4814, E-mail: adrian@stats.gla.ac.uk Professor Adelchi Azzalini, Department of Statistical Sciences, University of Padova, Via S.Francesco 33, 35121 Padova, Italy Tel:0039-49-8274147, Fax: 0039-49-8753930, E-mail: adelchi@pearson.stat.unipd.it

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EAN PDF
9780191545696
Prix
103,06 €
Nombre pages copiables
0
Nombre pages imprimables
0
Taille du fichier
10639 Ko
Ce livre est accessible aux handicaps informations d'accessibilité

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