Random Coefficient Models

by Longford, Nicholas T.

• ISBN13: 9780198522645
• ISBN10: 0198522649
• Format: Hardcover
• Copyright: 1994-02-17
• Publisher: Clarendon Press

Summary

The principal aim of the book is an exposition of methods for the analysis of clustered observations; the secondary one is to provide substantive interest as a measure of uncertainty, quality, equity, or generally, as a summary of differences among experimental or observational units. Anothergoal is to make a balanced presentation of the advantages and limitations of these methodsThe examples used for illustration of methods are not drawn exclusively from the social sciences. Although models are motivated mainly by social science problems, they are applicable in a variety of situations involving (imperfect) replication, such as repeated measurements, repeated experiments,logitudinal analysis, and analysis of covariance structures in general.

Table of Contents

Introduction	p. 1
Analysis of covariance with random effects	p. 26
Examples. Random-effects models	p. 64
Random regression coefficients	p. 94
Examples using random coefficient models	p. 128
Multiple levels of nesting	p. 156
Factor analysis and structural equations	p. 190
GLM with random coefficients	p. 219
Appendix. Asymptotic theory	p. 250
References	p. 257
Index	p. 266
Table of Contents provided by Blackwell. All Rights Reserved.