Books  Data Analysis & Modelling  Data Analysis & Statistics 

Variance Components Estimation: Mixed Models, Methodologies and Applications

Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability Volume: 78

Edited By: Poduri SRS Rao

204 pages, Tabs

North-Holland

Hardback | Dec 1997 | #102930 | ISBN: 0412728605
Availability: Usually dispatched within 6 days Details
NHBS Price: £79.99 $101/€95 approx

About this book

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.


Contents

The Study of Variation. One-Way Classification. Two-Way Cross-Classification. Randomized Blocks. BIBDs and Latin Squares. Nested Classifications. Maximum Likelihood Estimation. The MINQUE and MIVQUE. Non-Negative Estimation of Variance Components.Confidence Intervals. Genetic and Environmental Effects.

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