Bootstrap prediction intervals for the Birnbaum-Saunders distribution

Ming Che Lu, Dong Shang Chang

研究成果: 雜誌貢獻期刊論文同行評審

18 引文 斯高帕斯(Scopus)

摘要

The Birnbaum-Saunders distribution has been recognized as a versatile failure time model. However, it is not widely used in process control as some of its important characteristics have not been obtained. In this paper, we utilize the bootstrap method to construct a prediction interval for future observations from a Birnbaum-Saunders distribution. Monte Carlo simulations are carried out to evaluate the performance of the proposed procedure. The results reveal that the bootstrap intervals are satisfied with desired coverage probabilities and average lengths as sample size n is at least 30.

原文???core.languages.en_GB???
頁(從 - 到)1213-1216
頁數4
期刊Microelectronics Reliability
37
發行號8
DOIs
出版狀態已出版 - 8月 1997

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