A New One-Parameter Distribution for Right Censored Bayesian and Non-Bayesian Distributional Validation under Various Estimation Methods

We propose a new extension of the exponential distribution for right censored Bayesian and non-Bayesian distributional validation. The parameter is estimated using several conventional methods, including method. likelihood estimates are compared Pitman’s closeness criteria. estimators derived three loss functions: extended quadratic, Linex, entropy functions. Through simulated experiments, all estimating approaches offered have been assessed. maximum method approach BB algorithm. development Nikulin–Rao–Robson statistic model in uncensored situation thoroughly discussed with aid two applications simulation exercise. For novel under condition, derivation Bagdonavi?ius Nikulin also described.