Variance Components

1. Auflage 1997
ISBN: 978-0-412-72860-0
Verlag: Chapman and Hall/CRC

Buch, Englisch, 350 Seiten, Format (B × H): 143 mm x 223 mm, Gewicht: 358 g

Reihe: Chapman & Hall/CRC Monographs on Statistics and Applied Probability

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.

Zielgruppe

Professional

Autoren/Hrsg.

Rao, Poduri S. R. S.

Weitere Mitwirkende

Cox, D.R.

Reid, N.

Isham, Valerie

Tibshirani, R.J.

Louis, Thomas A.

Tong, Howell

Keiding, Niels

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung

Inhaltsverzeichnis

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.

Über Autor(innen)

Rao\, Poduri S.R.S.