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題名 Exact statistical inferences for the median of the Birnbaum-Saunders distribution
作者 楊素芬
Yang, Su-Fen
Lu, Ming-Che
Chang, Dong-Shang
貢獻者 統計系
關鍵詞 Birnbaum–Saunders distribution;consistent estimator;interval estimation;hypothesis testing;ineffectual interval
日期 2021-08
上傳時間 2022-04-12
摘要 The two-parameter Birnbaum–Saunders distribution was derived to describe the failure time from a process of fatigue crack growth. The scale parameter is also the median of the distribution. The inferences for the median of the distribution are mostly based on the maximum likelihood methods and subject to large-sample requirements. In this paper, we develop the exact small-sample confidence intervals of the median of the distribution when the shape parameter is known and unknown, respectively. Moreover, an alternative consistent estimator with an explicit form for the median of the distribution is provided in this study. Finally, we develop the hypothesis testing for the median of the distribution based on a small sample. The Monte Carlo simulations are further carried out to prove the power of the proposed test well performance.
關聯 Journal of Statistical Computing and Simulations, 92(3), pp.567-578
資料類型 article
DOI https://doi.org/10.1080/00949655.2021.1967352
dc.contributor 統計系-
dc.creator (作者) 楊素芬-
dc.creator (作者) Yang, Su-Fen-
dc.creator (作者) Lu, Ming-Che-
dc.creator (作者) Chang, Dong-Shang-
dc.date (日期) 2021-08-
dc.date.accessioned 2022-04-12-
dc.date.available 2022-04-12-
dc.date.issued (上傳時間) 2022-04-12-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/139854-
dc.description.abstract (摘要) The two-parameter Birnbaum–Saunders distribution was derived to describe the failure time from a process of fatigue crack growth. The scale parameter is also the median of the distribution. The inferences for the median of the distribution are mostly based on the maximum likelihood methods and subject to large-sample requirements. In this paper, we develop the exact small-sample confidence intervals of the median of the distribution when the shape parameter is known and unknown, respectively. Moreover, an alternative consistent estimator with an explicit form for the median of the distribution is provided in this study. Finally, we develop the hypothesis testing for the median of the distribution based on a small sample. The Monte Carlo simulations are further carried out to prove the power of the proposed test well performance.-
dc.format.extent 129 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Journal of Statistical Computing and Simulations, 92(3), pp.567-578-
dc.subject (關鍵詞) Birnbaum–Saunders distribution;consistent estimator;interval estimation;hypothesis testing;ineffectual interval-
dc.title (題名) Exact statistical inferences for the median of the Birnbaum-Saunders distribution-
dc.type (資料類型) article-
dc.identifier.doi (DOI) 10.1080/00949655.2021.1967352-
dc.doi.uri (DOI) https://doi.org/10.1080/00949655.2021.1967352-