Random coefficient models
Author(s)
Bibliographic Information
Random coefficient models
（Oxford statistical science series, 11）（Oxford science publications）
Clarendon Press , Oxford University Press, 1993
Available at / 27 libraries
-
No Libraries matched.
- Remove all filters.
Note
Bibliography: p. [257]-265
Includes index
Description and Table of Contents
Description
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. Another goal is to make a balanced presentation of the advantages and limitations of these methods
The 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
- 1. Analysis of covariance with random effects
- 2. Examples. Random-effects models
- 3. Random regression coefficients
- 4. Examples using random coefficient models
- 5. Multiple levels of nesting
- 6. Factor analysis and structural equations
- 7. GLM with random coefficients
- 8. Appendix. Asymptotic theory
by "Nielsen BookData"