Machine derived contents note: 1. Introduction -- 2. Analysis of covariance with random effects -- 3. Examples. Random-effects models -- 4. Random regression coefficients -- 5. Examples using random coefficient models -- 6. Multiple levels of nesting -- 7. Factor analysis and structural equations -- 8. GLM with random coefficients -- 9. Appendix. Asymptotic theory
Bibliography
Includes bibliographical references (pages [257]-265) and index
