Saracoğlu, BuğraKaya, Mehmet FedaiAbd-Elfattah, Abdallah Mahmoud2020-03-262020-03-262009Saracoğlu, B., Kaya, M.F., Abd-Elfattah, A.M. (2009). COMPARISON OF ESTIMATORS FOR STRESS-STRENGTH RELIABILITY IN THE GOMPERTZ CASE. HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS, 38(3), 339-3491303-5010https://hdl.handle.net/20.500.12395/23370In this paper, the Bayesian and non Bayesian estimation problem of reliability, R = P(Y < X), will be considered when X and Y are two independent but not identically random variables belonging to the Gompertz distribution. The three estimation methods applied were the maximum likelihood, uniformly minimum variance unbiased, and Bayes estimators. A numerical illustration is used to compare the three different estimators.eninfo:eu-repo/semantics/closedAccessStress-strength reliabilityGompertz distributionMinimum variance unbiased estimationMaximum likelihood estimationBayes estimationMean square errorArticle383339349Q3WOS:000273870200013Q4