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.
Product Identifiers
Publisher
Taylor & Francis Ltd
ISBN-13
9780412728600
eBay Product ID (ePID)
96487003
Product Key Features
Author
Poduri S.R.S. Rao
Publication Name
Variance Components: Mixed Models, Methodologies and Applications
Format
Hardcover
Language
English
Subject
Mathematics
Publication Year
1997
Type
Textbook
Number of Pages
350 Pages
Dimensions
Item Height
229mm
Item Width
152mm
Volume
78
Item Weight
463g
Additional Product Features
Title_Author
Poduri S.R.S. Rao
Series Title
Chapman & Hall/Crc Monographs on Statistics and Applied Probability
Country/Region of Manufacture
United Kingdom
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