Improvement on the Natural Dictionary-ordering Method in Reliability Growth Tests

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Improvement on the Natural Dictionary-ordering Method in Reliability Growth Tests

ZHENG Zhongguo, CAO Dachuang, ZHOU Zhengfa

Department of Probability and Statistics, Peking University, Beijing, 100871

Received:1999-04-12 Online:2000-01-20 Published:2000-01-20

对指数分布定总时有替换可增长型数据的NATURAL字典排序法的改进

郑忠国, 曹大创, 周正伐

北京大学概率统计系，北京，100871

Abstract

Abstract: In a m-stage reliability growth test, to estimate the lower confidence limit of the reliability of the system in the final stage, randomization is introduced to improve the exsiting natural chain method. Simulation study shows that when the number of stages is one, the randomization method is ideal.

Key words: reliability, lower confidence limit, sample space ordering, ML ordering method, NATURAL dictionary ordering method

摘要： 通过引入随机化方法对处理指数分布定总时有替换可增长型数据的NATURAL字典排序法给予了改进，进而改进了对产品可靠度置信下限的估计。

关键词: 可靠度, 置信下限, 样本空间排序法, ML排序法, NATURAL字典排序法

CLC Number:

O212.7

ZHENG Zhongguo,CAO Dachuang,ZHOU Zhengfa. Improvement on the Natural Dictionary-ordering Method in Reliability Growth Tests[J]. Acta Scientiarum Naturalium Universitatis Pekinensis.

郑忠国, 曹大创, 周正伐. 对指数分布定总时有替换可增长型数据的NATURAL字典排序法的改进[J]. 北京大学学报（自然科学版）.

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URL: https://xbna.pku.edu.cn/EN/

https://xbna.pku.edu.cn/EN/Y2000/V36/I1/53

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Improvement on the Natural Dictionary-ordering Method in Reliability Growth Tests

对指数分布定总时有替换可增长型数据的NATURAL字典排序法的改进

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