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Quasi-Bayesian estimation of time to test transform under asymmetric loss functions
International Journal of Statistics and Applied Mathematics · 2021 · Vol. 6(1) · pp. 153–156
Abstract
In the present paper, Quasi-Bayesian estimation of Total Time on Test transform (TTT) for the Lomax distribution. A two parametric Lomax distribution is considered for the analysis. Estimators are obtained by using extension of Jeffrey’s prior and Gamma prior under Entropy loss function and Precautionary loss function. Both the classical and Bayes estimators have been developed.
Statistical Distribution Estimation and ApplicationsProbabilistic and Robust Engineering DesignAdvanced Statistical Methods and ModelsBayes estimatorMathematicsEstimatorLomax distributionStatisticsPrior probabilityBayes factorParametric statisticsBayesian probabilityBayes' theorem
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