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Bayes estimation of the shape parameter of burr type XII distribution with generalised squared error loss and linex loss functions under some prior distributions
International Journal of Statistics and Applied Mathematics · 2018 · Vol. 3(4) · pp. 60–64
Abstract
In this paper, we obtain some classical and Bayes estimators of the shape parameters of the Burr Type XII distribution. The Bayes estimation was made under generalized squared error loss function (GSELF) and linear exponential (LINEX) loss functions with a non-informative prior (Jeffreys prior) and an informative prior (Gamma prior).
Statistical Distribution Estimation and ApplicationsAdvanced Statistical Methods and ModelsBayesian Methods and Mixture ModelsMathematicsBayes' theoremEstimatorMean squared errorPrior probabilityStatisticsBayes estimatorBayes error rateExponential distributionEstimation
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