NONPARAMETRIC METHODS FOR IMPERFECT REPAIR MODELS

• 成果类型: Article
• 署名作者: HOLLANDER, M; PRESNELL, B; SETHURAMAN, J
• 署名单位: State University System of Florida; University of Florida
• 刊物名称: ANNALS OF STATISTICS
• ISSN/ISSBN: 0090-5364
• DOI: 10.1214/aos/1176348661
• 发表日期: 1992
• 页码: 879-896
• 关键词: minimal repair; censored-data; large sample

摘要

In the age-dependent minimal repair model of Block, Borges and Savits (BBS), a system failing at age t undergoes one of two types of repair. With probability p(t), a perfect repair is performed and the system is returned to the good-as-new state, while with probability 1 - p(t), a minimal repair is performed and the system is repaired, but is only as good as a working system of age t. Whitaker and Samaniego propose an estimator for the system life distribution F when data are collected under this model. In the present article, an appropriate probability model for the BBS process is developed and a counting process approach is used to extend the large sample theorems of Whitaker and Samaniego to the whole line. Applications of these results to confidence bands and an extension of the Wilcoxon two-sample test are examined.