THE TRUNCATED XLINDLEY DISTRIBUTION WITH CLASSIC AND 6BAYESIAN INFERENCE UNDER CENSORED DATA

We provide a brand-new distribution based on the model of Lindley, with an emphasis estimation its unknown parameters. After introducing new distribution, we cover two approaches to estimate parameters; in presence censored scheme, first use traditional approach, which is The maximum likelihood technique, then Bayesian approach. BarzilaiBrown algorithm used derive estimators while Monte Carlo Markov chains (MCMC) procedure applied ones. Three loss functions are estimators: entropy, generalized quadratic, and Linex functions. Using Pitman's proximity criteria; estimations compared. All provided techniques have been evaluated throughout simulation studies. Finally, consider sample Bayes predictions predict future order statistics