Journal of Applied Mathematics and Stochastic Analysis 
Volume 7 (1994), Issue 3, Pages 331-336
doi:10.1155/S1048953394000286

A new simulation estimator of system reliability

Sheldon M. Ross

Department of Industrial Engineering and Operations Research, University of California, Berkeley, Berkeley 94720, CA, USA

Received 1 August 1993; Revised 1 November 1993

Abstract

A basic identity is proven and applied to obtain new simulation estimators concerning (a) system reliability, (b) a multi-valued system. We show that the variance of this new estimator is often of the order α2 when the usual raw estimator has variance of the order α and α is small. We also indicate how this estimator can be combined with standard variance reduction techniques of antithetic variables, stratified sampling and importance sampling.