JOURNAL ARTICLE

Seemingly unrelated regression models

Lubomı́r Kubáček

Year: 2013 Journal:   Applications of Mathematics Vol: 58 (1)Pages: 111-123   Publisher: Springer Science+Business Media

Abstract

The cross-covariance matrix of observation vectors in two linear statistical models need not be zero matrix. In such a case the problem is to find explicit expressions for the best linear unbiased estimators of both model parameters and estimators of variance components in the simplest structure of the covariance matrix. Univariate and multivariate forms of linear models are dealt with.

Keywords:
Mathematics Univariate Covariance matrix Estimator General linear model Covariance Applied mathematics Linear model Statistics Best linear unbiased prediction Bayesian multivariate linear regression Multivariate statistics Linear regression Design matrix Estimation of covariance matrices Matrix (chemical analysis) Artificial intelligence Computer science

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13
Cited By
1.43
FWCI (Field Weighted Citation Impact)
12
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Scientific Research Methods
Life Sciences →  Agricultural and Biological Sciences →  Food Science

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