AN ALTERNATIVE METHOD FOR PREDICTION INTERVALS OF AN ORDER OBSERVATION FROM ONE-PARAMETER EXPONENTIAL DISTRIBUTION BASED ON CENSORED SAMPLE

被引：0

作者：

Wu, Tsong-Huey ^{[1
]}

Lu, Hai-Lin ^{[2
]}

机构：

[1] Chia Nan Univ Pharm & Sci, Dept Hlth Care & Adm, 60 Erh Jen Rd,Sect 1, Tainan 712, Taiwan

[2] Chia Nan Univ Pharm & Sci, Dept Management Informat Sci, Tainan 712, Taiwan

来源：

JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING | 2006年 / 23卷 / 01期

关键词：

prediction intervals; order statistics; Monte Carlo simulation; one-parameter exponential distribution;

D O I：

10.1080/10170660609508998

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In the paper, we construct a more precise prediction interval of the jth order observation from some pivotal quantities for the one-parameter exponential distribution based on Type II censored samples. Our method is more general in the sense that it can be applied to any data scheme. From the illustrated examples and the results of simulation, the performances of our method are better than the widely-used methods of Mann and Grubbs [12] and Kaminsky and Nelson [5,6]. For further study, our method is easily applied to other location and scale family distributions.

引用

页码：80 / 90

页数：11

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