UID:
almafu_9959327459302883
Format:
1 online resource (xxiii, 501 pages)
Edition:
Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010.
ISBN:
9780470316856
,
0470316853
,
9780470317693
,
0470317698
Content:
WILEY-INTERSCIENCE PAPERBACK SERIES. The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. ". . .Variance Components is an excellent book. It is organized and well written, and provides many references to a variety of topics. I recommend it to anyone with interest in linear models."
Note:
Variance Components; CONTENTS; 1. Introduction; 2. History and Comment; 3. The I-Way Classification; 4. Balanced Data; 5. Analysis of Variance Estimation for Unbalanced Data; 6. Maximum Likelihood (ML) and Restricted Maximum Likelihood (REML); 7. Prediction of Random Variables; 8. Computing ML and REML estimates; 9. Hierarchical Models and Bayesian Estimation; 10. Binary and Discrete Data; 11. Other Procedures; 12. The Dispersion-Mean Model; Appendix F. Estimation Formulae for Unbalanced Data; PART II. THE 2-WAY CROSSED CLASSIFICATION; Appendix M. Some Results in Matrix Algebra.
,
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
,
English.
Additional Edition:
Print version: Searle, S.R. (Shayle R.), 1928- Variance components. New York : Wiley, ©1992 ISBN 0471621625
Additional Edition:
ISBN 9780471621621
Language:
English
Keywords:
Electronic books.
;
Electronic books.
DOI:
10.1002/9780470316856
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470316856
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470316856
Bookmarklink
