Estimation of the Parameters of Type-II Discrete Weibull Distribution Under Type-I Censoring


  •  Mohamed S. A. Muiftah    
  •  Samir K. Ashour    

Abstract

Maximum likelihood and proportion estimators of the parameters of the discrete Weibull type II distribution with type I censored data are discussed. A simulation study is performed to generate data from this distribution for suggested values of its parameters and to get the Maximum likelihood estimates of the parameters numerically. The method of proportions suggested by Khan et al. (1989) is also used to estimate the model's parameters. Numerical examples are used to perform a comparison study between the two method results according the values of the estimates and their corresponding mean squared errors.



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