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Preliminary Test Estimation in the Rayleigh Distribution Using Minimax Regret Significance Levels

Given a prior guess of the unknown parameter, the usual preliminary test estimator based on the maximum likelihood estimator for the Rayleigh scale parameter is developed. The optimal significance levels based on the minimax regret criterion and the corresponding critical values are numerically o...

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Main Author: Baklizi, Ayman
Format: Article
Language:English
English
Published: Universiti Putra Malaysia Press 2004
Online Access:http://psasir.upm.edu.my/id/eprint/3694/1/Preliminary_Test_Estimation_in_the_Rayleigh_Distribution.pdf
http://psasir.upm.edu.my/id/eprint/3694/
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spelling my.upm.eprints.36942013-05-27T07:10:29Z http://psasir.upm.edu.my/id/eprint/3694/ Preliminary Test Estimation in the Rayleigh Distribution Using Minimax Regret Significance Levels Baklizi, Ayman Given a prior guess of the unknown parameter, the usual preliminary test estimator based on the maximum likelihood estimator for the Rayleigh scale parameter is developed. The optimal significance levels based on the minimax regret criterion and the corresponding critical values are numerically obtained. Universiti Putra Malaysia Press 2004 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/3694/1/Preliminary_Test_Estimation_in_the_Rayleigh_Distribution.pdf Baklizi, Ayman (2004) Preliminary Test Estimation in the Rayleigh Distribution Using Minimax Regret Significance Levels. Pertanika Journal of Science & Technology, 12 (1). pp. 45-50. ISSN 0128-7680 English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description Given a prior guess of the unknown parameter, the usual preliminary test estimator based on the maximum likelihood estimator for the Rayleigh scale parameter is developed. The optimal significance levels based on the minimax regret criterion and the corresponding critical values are numerically obtained.
format Article
author Baklizi, Ayman
spellingShingle Baklizi, Ayman
Preliminary Test Estimation in the Rayleigh Distribution Using Minimax Regret Significance Levels
author_facet Baklizi, Ayman
author_sort Baklizi, Ayman
title Preliminary Test Estimation in the Rayleigh Distribution Using Minimax Regret Significance Levels
title_short Preliminary Test Estimation in the Rayleigh Distribution Using Minimax Regret Significance Levels
title_full Preliminary Test Estimation in the Rayleigh Distribution Using Minimax Regret Significance Levels
title_fullStr Preliminary Test Estimation in the Rayleigh Distribution Using Minimax Regret Significance Levels
title_full_unstemmed Preliminary Test Estimation in the Rayleigh Distribution Using Minimax Regret Significance Levels
title_sort preliminary test estimation in the rayleigh distribution using minimax regret significance levels
publisher Universiti Putra Malaysia Press
publishDate 2004
url http://psasir.upm.edu.my/id/eprint/3694/1/Preliminary_Test_Estimation_in_the_Rayleigh_Distribution.pdf
http://psasir.upm.edu.my/id/eprint/3694/
_version_ 1643822685481861120
score 13.222552

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