E–Bayesian Estimation for the Inverted Topp – Leone Distribution Based on Type-II Censored Data


  •  Dalia Ziedan    
  •  Ayman Orabi    

Abstract

The objective of this paper is to estimate the unknown parameter for inverted Topp – Leone (ITL) distribution using the E-Bayesian estimation method under type-II censored sampling. The squared error loss function and the LINEX loss function are used to estimate the unknown parameter. The effectiveness of the E-Bayesian estimators in comparison to the Bayesian and maximum likelihood estimators based on mean square error is investigated using a Monte Carlo simulation.


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