Statistical Inference

Paul Garthwaite, Ian Jolliffe, Byron Jones

338 pages, parution le 13/12/2002 (2^eme édition)

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Résumé

Statistical inference is the foundation on which much of statistical practice is built. This book covers the topic at a level suitable for students and professionals who need to understand these foundations.

Readership: Final year undergraduates and graduates in statistics.

Unique combination of topics combining traditional inference with recent developments.
Many exercises at varying levels of difficulty.
Rigorous approach to the topic.

Contents

1 Introduction
2 Properties of estimators
3 Maximum likelihood and other methods of estimation
4 Hypothesis testing
5 Interval estimation
6 The decision theory approach to inference
7 Bayesian inference
8 Non-parametric and robust inference
9 Computationally intensive methods
10 Generalised linear models

L'auteur - Paul Garthwaite

Paul Garthwaite, Department of Statistics, Open University, UK

L'auteur - Ian Jolliffe

Ian Jolliffe is Professor of Statistics at the University of Aberdeen. He is author or co-author of over 60 research papers and three other books. His research interests are broad, but aspects of principal component analysis have fascinated him and kept him busy for over 30 years.

L'auteur - Byron Jones

Byron Jones, Director, Research Statistics Unit (UK), GlaxoSmithKline, Harlow, UK

Caractéristiques techniques

	PAPIER
Éditeur(s)	Oxford University Press
Auteur(s)	Paul Garthwaite, Ian Jolliffe, Byron Jones
Parution	13/12/2002
Édition	2^eme édition
Nb. de pages	338
Format	16 x 24
Couverture	Relié
Poids	600g
Intérieur	Noir et Blanc
EAN13	9780198572268
ISBN13	978-0-19-857226-8