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Loading... Variance components estimation : mixed models, methodologies and applicationsby Poduri Rao
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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 as non-linear and generalized linear models with random effects. No library descriptions found. |
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Google Books — Loading... GenresMelvil Decimal System (DDC)519.538Natural sciences and mathematics Mathematics Applied Mathematics, Probabilities Statistical MathematicsLC ClassificationRatingAverage: No ratings.Is this you?Become a LibraryThing Author. |