E-Bayesian Estimation Based On Generalized Half Logistic Progressive Type-II Censored Data

 
 
 
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    In this paper, given a progressively type II censored sample from a generalized halflogistic distribution, the Bayesian and E-Bayesian (expectation of the Bayesian estimate)estimators are obtained under LINEX and squared-error loss functions, for the parameterand reliability function. Monte Carlo simulation method is used to generate a progressiveType-II censored data from generalized half logistic distribution, then these data is usedto compute the estimations of the parameter and compare both the methods used whendifferent random schemes.

 

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Article ID: 759
 
DOI: 10.14419/ijams.v1i2.759




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