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

A TWO-STAGE ESTIMATION ALGORITHM FOR A TYPE OF CURRENT STATUS DATA
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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 Mgorithm 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 be extended to deM with some complicated lifetime distributions.
出处 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2012年第3期556-566,共11页 系统科学与复杂性学报(英文版)
基金 supported by National Natural Science Foundation of China under Grant No. 11001097
关键词 Current status data nonparametric maximum likelihood estimation success-failure lifetest. 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
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