On Predicting Repair Times in A Minimal Repair Process
exponential distribution, mean squared error, point predictors, prediction intervals
Communications in Statistics - Simulation and Computation
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
DOI of published version
Gupta, Ramesh C. and Kirmani, S. N.U.A., "On Predicting Repair Times in A Minimal Repair Process" (1989). Faculty Publications. 4659.