Variance Components: Mixed Models, Methodologies and Applications: 78 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability) - Hardcover
Synopsis
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.
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About the Author
Rao\, Poduri S.R.S.
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Variance Components: Mixed Models, Methodologies and Applications (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
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Variance Components Estimation: Mixed Models, Methodologies and Applications
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Chapman & Hall, London, 1997
ISBN 10: 0412728605
ISBN 13: 9780412728600
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Variance Components Estimation: Mixed models, methodologies and applications
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ISBN 10: 0412728605
ISBN 13: 9780412728600
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Variance Components: Mixed Models, Methodologies and Applications (Chapman & Hall/CRC Monographs on Statistics and Applied Probability 78)
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CHAPMAN & HALL, 1997
ISBN 10: 0412728605
ISBN 13: 9780412728600
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Variance components estimation mixed models, methodologies and applications Poduri S.R.S. Rao. Monographs on statistics and applied probability 78.
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London , Chapman & Hall, 1997
ISBN 10: 0412728605
ISBN 13: 9780412728600
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