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Title: Characterization of admissible linear estimators under extended balanced loss function (English)
Author: Mirezi, Buatikan
Author: Kaçıranlar, Selahattin
Language: English
Journal: Kybernetika
ISSN: 0023-5954 (print)
ISSN: 1805-949X (online)
Volume: 57
Issue: 4
Year: 2021
Pages: 613-627
Summary lang: English
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Category: math
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Summary: In this paper, we study the admissibility of linear estimator of regression coefficient in linear model under the extended balanced loss function (EBLF). The sufficient and necessary condition for linear estimators to be admissible are obtained respectively in homogeneous and non-homogeneous classes. Furthermore, we show that admissible linear estimator under the EBLF is a convex combination of the admissible linear estimator under the sum of square residuals and quadratic loss function. (English)
Keyword: admissibility
Keyword: extended balanced loss function
Keyword: linear admissible estimator
MSC: 62C15
MSC: 62F10
MSC: 62J05
idZBL: Zbl 07478631
idMR: MR4332884
DOI: 10.14736/kyb-2021-4-0613
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Date available: 2021-11-04T12:56:11Z
Last updated: 2022-02-24
Stable URL: http://hdl.handle.net/10338.dmlcz/149211
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