The parameter estimation of inverse Gaussian distribution under different loss functions

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Arun Kumar Rao and Himanshu Pandey

Abstract

In this paper the Inverse Gaussian distribution is considered for Bayesian analysis. The expressions for Bayes estimators of the parameter are derived under squared error, precautionary, entropy, K-loss, and Al-Bayyati's loss functions by using the quasi and inverted gamma priors.

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