Variance ComponentsISBN: 978-0-470-00959-8
Paperback
536 pages
March 2006
 This is a Print-on-Demand title. It will be printed specifically to fill your order. Please allow an additional 10-15 days delivery time. The book is not returnable.
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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.
Appendices.
References.
List of Tables and Figures.
Indexes.
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