Variance Components

Shayle R. Searle, George Casella, Charles E. McCulloch - Collection Wiley Series in Probability and Statistics

502 pages, parution le 25/04/2006

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Résumé

Wiley-interscience paperback series

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

This book focuses on summarizing the variability of statistical data known as the analysis of variance table. Penned in a readable style, it provides an up-to-date treatment of research in the area. The book begins with the history of analysis of variance and continues with discussions of balanced data, analysis of variance for unbalanced data, predictions of random variables, hierarchical models and Bayesian estimation, binary and discrete data, and the dispersion mean model.

Sommaire

History and Comment
The 1-Way Classification
Balanced Data
Analysis of Variance Estimation for Unbalanced Data
Maximum Likelihood (ML) and Restricted Maximum Likelihood (REML)
Prediction of Random Variables
Computing ML and REML Estimates
Hierarchical Models and Bayesian Estimation
Binary and Discrete Data
Other Procedures
The Dispersion-Mean Model
Appendix F. Estimation Formulae for Unbalanced Data
Appendix M. Some Results in Matrix Algebra
Appendix S. Some Results in Statistics

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Shayle R. Searle, George Casella, Charles E. McCulloch
Collection	Wiley Series in Probability and Statistics
Parution	25/04/2006
Nb. de pages	502
Format	15,5 x 23,5
Couverture	Broché
Poids	680g
Intérieur	Noir et Blanc
EAN13	9780470009598
ISBN13	978-0-470-00959-8