Variance components /

"This broad array of topics will appeal to research workers, to students, and to anyone interested in the use of mixed models and variance components for statistically analyzing data. The book will serve as a reference for a wide spectrum of topics for practicing statisticians. For students, it...

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Bibliographic Details
Main Author: Searle, S. R. (Shayle R.), 1928-
Other Authors: Casella, George, McCulloch, Charles E.
Format: eBook
Language:English
Published: New York : Wiley, ©1992.
Series:Wiley series in probability and mathematical statistics. Applied probability and statistics.
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • History and Comment
  • The 1-Way Classification
  • Balanced Data
  • Analysis of Variance Estimation for Unbalanced Data
  • Maximum Likelihood (ML) and Restricted Maximum Likelihood (REML)
  • Prediction of Random Variables
  • Computing ML and REML Estimates
  • Hierarchical Models and Bayesian Estimation
  • Binary and Discrete Data
  • Other Procedures
  • The Dispersion-Mean Model
  • Estimation Formulae for Unbalanced Data
  • Some Results in Matrix Algebra
  • Some Results in Statistics.