Implied linear restrictions in the general Gauss-Markov model-Reference-Cited by-同舟云学术

Implied linear restrictions in the general Gauss-Markov model

Published:1992-02 Issue:2 Volume:30 Page:237-248
ISSN:0378-3758
Container-title:Journal of Statistical Planning and Inference
language:en
Short-container-title:Journal of Statistical Planning and Inference

Author:

Baksalary Jerzy K.,Pordzik PawełR.

Publisher

Elsevier BV

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Reference19 articles.

1. A study of the equivalence between a Gauss-Markoff model and its augmentation by nuisance parameters;Baksalary;Math. Operationsforsch. Statist. Ser. Statist.,1984

2. Algebraic characterizations and statistical implications of the commutativity of orthogonal projectors;Baksalary,1987

3. Best linear unbiased estimation in the restricted general linear model;Baksalary;Math. Operationsforsch. Statist. Ser. Statist.,1979

4. Inverse-partitioned-matrix method for the general Gauss-Markov model with linear restrictions;Baksalary;J. Statist. Plann. Inference,1989

5. A property of the dispersion matrix of the best linear unbiased estimator in the general Gauss-Markov model;Baksalary;Sankhyā Ser. A,1990

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