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A TWO-STAGE ESTIMATION ALGORITHM FOR A TYPE OF CURRENT STATUS DATA

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成果类型:
期刊论文
作者:
Zhao, Hui*;Jiang, Ningning
通讯作者:
Zhao, Hui
作者机构:
[Zhao, Hui] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.
[Jiang, Ningning] Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Beijing 100190, Peoples R China.
通讯机构:
[Zhao, Hui] C
Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Current status data;nonparametric maximum likelihood estimation;success-failure life test
关键词(中文):
估计算法;数据类型;寿命试验;寿命分布;可靠性工程;状态数据;二项式;吸引力
期刊:
系统科学与复杂性(英文版)
ISSN:
1009-6124
年:
2012
卷:
25
期:
3
页码:
556-566
基金类别:
This paper was partially supported by National Natural Science Foundation of China under Grant No. (11001097).
机构署名:
本校为第一且通讯机构
院系归属:
数学与统计学学院
摘要:
Success-failure life tests are widely used in reliability engineering research to evaluate the storage life of products, where the observed data are the current status data, usually summarized as the form of "binomial life data". For this type of data, this paper proposes a two-stage algorithm to estimate some commonly used lifetime distributions. This algorithm is automatic, intuitively appealing and simple to implement. Simulation studies show that compared with some existing methods, the proposed algorithm is more stable and efficient, especially in small sample situations, and it can also ...
摘要(中文):
Success-failure life tests are widely used in reliability engineering research to evaluate the storage life of products,where the observed data are the current status data,usually summarized as the form of "binomial life data".For this type of data,this paper proposes a two-stage algorithm to estimate some commonly used lifetime distributions.This algorithm is automatic,intuitively appealing and simple to implement.Simulation studies show that compared with some existing methods,the proposed algorithm is more stable and efficient,especially in ...

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