Bayes Estimator of Inverse Gaussian Parameters Under General Entropy Loss Function Using Lindley's Approximation |
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| Authors: | P K Singh Umesh Singh |
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| Institution: | 1. Department of Statistics , Udai Pratap (Autonomous) College , Varanasi, India;2. Department of Statistics and CIMS , B.H.U , Varanasi, India |
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| Abstract: | In this article, we obtained Bayes estimators of parameters of Inverse Gaussian distributions under asymmetric loss function using Lindley's Approximation (L-Approximation). The proposed estimators have been compared with the corresponding estimators obtained under symmetric loss function and MLE for their risks. This comparison is illustrated using Monte-Carlo study of 2,000 simulated sample from the Inverse Gaussian distribution. |
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| Keywords: | Bayes estimates General entropy loss function Lindley's approximation Linex loss function Risks of estimators Squared error loss function |
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