Nonparametric Inference under Minimal Repair

Abstract

In the age-dependent minimal repair model of Block, Borges, and Savits (1985), 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 (1989) propose an estimator for the system life distribution F when data are collected under this model. Using the product integral representation of the survival function, a basic result of Block, Borges, and Savits concerning the waiting time until the first perfect repair is extended to allow for discontinuous distributions. Then using counting process techniques, the large sample theorems of Whitaker and Samaniego are extended to the whole line. These results are used to derive confidence bands for F, and to determine a sufficient condition for their applicability on the whole line. Simulation results for the bands are provided. An extension of the Wilcoxon two- sample test to the minimal repair model is also examined. (JHD)

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1990
Accession Number
ADA220273

Entities

People

  • Brett Presnell
  • Jayaram Sethuraman
  • Myles Hollander

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  • Florida State University

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  • C4I

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  • AI & ML
  • AI & ML - Bayesian Inference