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Title: Some remarks on comparison of predictors in seemingly unrelated linear mixed models (English)
Author: Güler, Nesrin
Author: Eriş Büyükkaya, Melek
Language: English
Journal: Applications of Mathematics
ISSN: 0862-7940 (print)
ISSN: 1572-9109 (online)
Volume: 67
Issue: 4
Year: 2022
Pages: 525-542
Summary lang: English
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Category: math
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Summary: In this paper, we consider a comparison problem of predictors in the context of linear mixed models. In particular, we assume a set of $m$ different seemingly unrelated linear mixed models (SULMMs) allowing correlations among random vectors across the models. Our aim is to establish a variety of equalities and inequalities for comparing covariance matrices of the best linear unbiased predictors (BLUPs) of joint unknown vectors under SULMMs and their combined model. We use the matrix rank and inertia method for establishing equalities and inequalities. We also give an extensive approach for seemingly unrelated regression models (SURMs) by applying the results obtained for SULMMs to SURMs. (English)
Keyword: BLUP
Keyword: covariance matrix
Keyword: inertia
Keyword: OLSP
Keyword: rank
Keyword: SULMM
Keyword: SURM
MSC: 15A03
MSC: 62H12
MSC: 62J05
idZBL: Zbl 07584084
idMR: MR4444791
DOI: 10.21136/AM.2021.0366-20
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Date available: 2022-06-28T13:23:59Z
Last updated: 2022-12-27
Stable URL: http://hdl.handle.net/10338.dmlcz/150441
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