Variance Components: Mixed Models, Methodologies and Applications

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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 ...

Variance Components: Mixed Models, Methodologies and Applications 1997, CRC Press

ISBN-13: 9780412728600

Hardcover

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