REML estimation with restricted parameter spaces /

Restricted parameter spaces for covariance matrices, such as [Sigma] = [sigma]^{2}I or [Sigma] = [alpha]I + [beta]J, are often used to simplify estimation. In addition, fixed upper and/or lower bounds may be needed to insure that estimates satisfy a priori hypotheses. With multivariate variance comp...

Full description

Bibliographic Details
Main Authors:	Calvin, James Arthur (Author), Dykstra, R. (Richard) (Author)
Corporate Authors:	University of Iowa. Department of Statistics and Actuarial Science (sponsoring body.), National Science Foundation (U.S.) (sponsoring body.)
Format:	Book
Language:	English
Published:	College Station, Texas : Department of Statistics, Texas A & M University, 1992.
Series:	Technical report (Texas A & M University. Department of Statistics) ; no. 176.
Subjects:	Multivariate analysis. Estimation theory. Analysis of covariance. Analysis of variance. Regression analysis. Expectation-maximization algorithms. Iterative methods (Mathematics) Linear models (Statistics) Mathematical statistics. Statistics > Linear inference, regression > Analysis of variance and covariance. Statistics > Multivariate analysis > Estimation. Isotonic regression Restricted maximum likelihood estimation Iterative algorithm Multivariate linear model Variance components

Cushing: Texas A&M Publications (Remote Storage: 2-3 day retrieval)

Holdings details from Cushing: Texas A&M Publications (Remote Storage: 2-3 day retrieval)
Call Number	Status	Get It
Call Number:		QA276.A12 T4 no.176

QA276.A12 T4 no.176	Available