Bayesian Estimation of the Shape Parameter of Lomax Distribution under Uniform and Jeffery Prior with Engineering Applications

In engineering, it is usual to model the data so as make a decision under problem of uncertainty. Commonly, in engineering skewed right, and distributions statistics are appropriate models for making Bayesian paradigm. To lifetime an electronic device, engineer can use estimators compute effect evidence increasing probability device by using prior information. This study presents estimation shape parameter Lomax distribution Uniform Jeffery adopting SELF, QELF, WSELF, PELF. The significance various compared presented graphs simulated It was determined that uniform prior, Bayes estimator weighted error loss function (BWEL) provides better result than others. Under precautionary (BPEL) leads Moreover, application also illustration purposes.