Variance Components: Mixed Models, Methodologies and Applications

1st Edition

Poduri S.R.S. Rao

Chapman and Hall/CRC
Published June 1, 1997
Reference - 350 Pages
ISBN 9780412728600 - CAT# C2860
Series: Chapman & Hall/CRC Monographs on Statistics and Applied Probability

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Summary

Variance Components Estimation deals with the evaluation of the variation between observable data or classes of data. This is an up-to-date, comprehensive work that is both theoretical and applied. Topics include ML and REML methods of estimation; Steepest-Acent, Newton-Raphson, scoring, and EM algorithms; MINQUE and MIVQUE, confidence intervals for variance components and their ratios; Bayesian approaches and hierarchical models; mixed models for longitudinal data; repeated measures and multivariate observations; as well as non-linear and generalized linear models with random effects.