Bayesian and Non-Bayesian Estimators of the Parameters of Weibull Distribution
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Abstract
In this paper, some estimators for the shape and scale parameters of Weibull distribution
have been obtained using Maximum likelihood as non-Bayesian estimators, as well as
Bayes estimators. Bayesian estimations have been obtained under Scale invariant and
Entropy loss functions based on exponential priors. Lindley’s approximation has been
used effectively in Bayesian estimation. Based on the Monte Carlo simulation method,
those estimators are compared depending on the mean squared errors (MSE’s).
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