A heuristic approach for near optimal truncated sequential test of exponential distribution

被引:1
|
作者
Hu, Sigui [1 ,2 ]
Wang, Honglei [1 ]
机构
[1] Guizhou Univ, Coll Management, Guiyang 550025, Guizhou, Peoples R China
[2] Guizhou Med Univ, Sch Biol & Engn, Guiyang, Guizhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Computational statistics; optimal design; quality control; sequential test; PROBABILITY RATIO TEST; VACCINE SAFETY;
D O I
10.1080/07474946.2018.1554887
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Optimal truncated sequential test of the exponential distribution is studied in this paper. Definitions and relative concepts of optimal truncated sequential test are discussed. A heuristic approach, sample space sorting method (SSSM) and the procedures are established to solve a near optimal truncated sequential test. Comparing with the test plans provided by international standard IEC 61124 (2012) and Russian national standard GOST R 27.402 (1995), the results show that the near optimal tests proposed in this paper can keep the error probabilities almost equivalence to the nominal error levels and save more synthetical expected test times and maximum expected test times simultaneously.
引用
收藏
页码:431 / 454
页数:24
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