Bayesian and MLE of R=P(Y>X) for Exponential Distribution Based on Varied L Ranked Set Sampling

The ranked set sampling (RSS) is an effective scheme popularly used to produce more precisely estimators. Despite its popularity, RSS suffers from some drawbacks which includes high sensitivity outliers and it cannot sometimes be applicable when the population relatively small. To overcome these limitations, varied L (VLRSS) recently introduced. It shown that VLRSS enjoys with many interesting properties over also encompasses several existing schemes. In addition, helpful for providing precise estimates of parameters. fill this gap, article extends work address estimation based ℛ on strength stress both follow exponential distribution. Maximum likelihood approach as well Bayesian method are considered estimating ℛ. Bayes estimators obtained by using gamma distribution under general entropy loss function LINEX function. performance investigated a simulation study real dataset relevant industrial field. results reveal proposed efficient relative their analogues given quality ranking fairly good.