Estimation of Reliability in Interference Models Using Monte Carlo Simulation
نویسندگان
چکیده
This paper presents estimation of reliability R P(X Y) of a system, for the cases when its strength (X) and stress (Y) follow exponential, normal or gamma distributions, using Monte Carlo simulation (MCS). First the parameters of strength and / stress are estimated and substituting them in the reliability expressions, in different cases, the estimates of reliability are obtained. Normal distribution is fitted to various sets of estimated reliability R , generated by MCS. The goodness of fit is tested using Kolmogorov-Smirnov one sample test.
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تاریخ انتشار 2012