Comparison of the population variance estimators of 2-parameter exponential distribution based on multiple criteria decision making method
In this paper we study the problems of estimation for the population variance,θ2 in 2-parameter exponential distribution. In 2-parameter exponential distribution, the estimates parameters are where q = ±1,±2 . The purpose of this study is to compare the estimators of θ2 based on the Multiple Criteri...
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th-mahidol.320242018-10-19T12:09:43Z Comparison of the population variance estimators of 2-parameter exponential distribution based on multiple criteria decision making method S. Lertprapai M. Tiensuwan Burapha University Mahidol University South Carolina Commission on Higher Education Mathematics In this paper we study the problems of estimation for the population variance,θ2 in 2-parameter exponential distribution. In 2-parameter exponential distribution, the estimates parameters are where q = ±1,±2 . The purpose of this study is to compare the estimators of θ2 based on the Multiple Criteria Decision Making (MCDM) procedure to obtain the best estimator. The results reveal that the best estimator of θ2 in 2-parameter exponential distribution is θ̂22(-1). © 2013 S. Lertprapai and M. Tiensuwan. 2018-10-19T05:09:43Z 2018-10-19T05:09:43Z 2013-04-24 Article Applied Mathematical Sciences. Vol.7, No.45-48 (2013), 2307-2320 1312885X 2-s2.0-84876384277 https://repository.li.mahidol.ac.th/handle/123456789/32024 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84876384277&origin=inward |
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Mathematics S. Lertprapai M. Tiensuwan Comparison of the population variance estimators of 2-parameter exponential distribution based on multiple criteria decision making method |
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In this paper we study the problems of estimation for the population variance,θ2 in 2-parameter exponential distribution. In 2-parameter exponential distribution, the estimates parameters are where q = ±1,±2 . The purpose of this study is to compare the estimators of θ2 based on the Multiple Criteria Decision Making (MCDM) procedure to obtain the best estimator. The results reveal that the best estimator of θ2 in 2-parameter exponential distribution is θ̂22(-1). © 2013 S. Lertprapai and M. Tiensuwan. |
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Burapha University |
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Burapha University S. Lertprapai M. Tiensuwan |
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Article |
| author |
S. Lertprapai M. Tiensuwan |
| author_sort |
S. Lertprapai |
| title |
Comparison of the population variance estimators of 2-parameter exponential distribution based on multiple criteria decision making method |
| title_short |
Comparison of the population variance estimators of 2-parameter exponential distribution based on multiple criteria decision making method |
| title_full |
Comparison of the population variance estimators of 2-parameter exponential distribution based on multiple criteria decision making method |
| title_fullStr |
Comparison of the population variance estimators of 2-parameter exponential distribution based on multiple criteria decision making method |
| title_full_unstemmed |
Comparison of the population variance estimators of 2-parameter exponential distribution based on multiple criteria decision making method |
| title_sort |
comparison of the population variance estimators of 2-parameter exponential distribution based on multiple criteria decision making method |
| publishDate |
2018 |
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https://repository.li.mahidol.ac.th/handle/123456789/32024 |
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