Efficiency comparisons between two estimators based on matrix determinant Kantorovich-type inequalities

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We first establish two matrix determinant Kantorovich-type inequalities. Then, based on these two and other inequalities, we introduce new efficiency criteria and present their upper bounds to make efficiency comparisons between the ordinary least squares estimator and the best linear unbiased estimator in the general linear model. We provide numerical examples to examine the upper bounds of some new and old efficiency criteria.

Original languageEnglish
Pages (from-to)145-155
Number of pages11
Issue number2
Publication statusPublished - 2000
Externally publishedYes


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