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Confidence Intervals for Reliability of Stress-Strength Models in the Normal Case
2011
Communications in statistics. Simulation and computation
In this paper we propose some procedures to get confidence intervals for the reliability in stress-strength models. The confidence intervals are obtained either through a parametric bootstrap procedure or using asymptotic results, and are applied to the particular context of two independent normal random variables. The performance of these estimators and other known approximate estimators are empirically checked through a simulation study which considers several scenarios. Note: The following
doi:10.1080/03610918.2011.560728
fatcat:dxyltphphng2po3bxsccv3g7f4