Faculty Publications

Title

On Predicting Repair Times in A Minimal Repair Process

Document Type

Article

Keywords

exponential distribution, mean squared error, point predictors, prediction intervals

Journal/Book/Conference Title

Communications in Statistics - Simulation and Computation

Volume

18

Issue

4

First Page

1359

Last Page

1368

Abstract

A minimal repair process is the nonhomogeneous Poisson process generated by the successive repairs of an equipment in which, upon each failure, the equipment is instantaneously restored to its condition immediately prior to failure. Point predictors of a future minimal repair epoch are developed and compared, on the basis of ‘pointwise as well as ’global’ mean squared errors, when the time until first failure of the equipment has exponential distribution with unknown location and scale parameters. Two general approaches are developed for obtaining prediction intervals in any minimal repair process and the two parameter exponential model is considered as a special case. © 1989, Taylor & Francis Group, LLC. All rights reserved.

Original Publication Date

1-1-1989

DOI of published version

10.1080/03610918908812825

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