• BAYESIAN ESTIMATION OF THE GENERALIZED POWER WEIBULL DISTRIBUTION PARAMETERS BASED ON PROGRESSIVE CENSORING SCHEMES

EHAB MOHAMED ALMETWALY*, HISHAM MOHAMED ALMONGY

Abstract


In this paper, we discussed the method of obtaining the optimal type-II progressive censoring schemes. We compared between Bayesian estimations of loss function binary, square error, Entropy loss function and linex loss function  for the shape  parameters  and  of the generalized power Weibull (GPW) distribution based on progressive type-II censoring scheme. This comparison was done by using simulation study and application on real life of data.


Keywords


Generalized Power Weibull, Progressive Type-II Censoring, Binary Loss Function, Square Error Loss Function, Linex Loss Function, Entropy Loss Function.

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