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Academic & Professional Books  Reference  Data Analysis & Modelling  Data Analysis & Statistics

Variance Components Estimation Mixed Models, Methodologies and Applications

Monograph Out of Print
Edited By: Poduri SRS Rao
204 pages, Tabs
Publisher: North-Holland
Variance Components Estimation
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  • Variance Components Estimation ISBN: 9780412728600 Hardback Jun 1997 Out of Print #102930
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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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Monograph Out of Print
Edited By: Poduri SRS Rao
204 pages, Tabs
Publisher: North-Holland
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