Random Coefficient Models by Nicholas T. Longford

Random Coefficient Models

byNicholas T. Longford

Hardcover | September 1, 1992

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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.

About The Author

Nicholas T. Longford is at Educational Testing Service, Princeton, New Jersey.

Details & Specs

Title:Random Coefficient ModelsFormat:HardcoverDimensions:284 pages, 9.21 × 6.14 × 0.83 inPublished:September 1, 1992Publisher:Oxford University Press

The following ISBNs are associated with this title:

ISBN - 10:0198522649

ISBN - 13:9780198522645

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Table of Contents

Introduction1. Analysis of covariance with random effects2. Examples. Random-effects models3. Random regression coefficients4. Examples using random coefficient models5. Multiple levels of nesting6. Factor analysis and structural equations7. GLM with random coefficients8. Appendix. Asymptotic theory

Editorial Reviews

"A major strength is the interweaving of rather involvedmethodology with the analysis of interesting real-life applications. . .provides an interesting and concise introduction to much of the literature on random-effects modeling." --Journal of the American Statistical Association