Estimation of scale parameter of inverse gaussian distribution under a bayesian framework using different loss functions
Journal Title: Scientific Journal of Review - Year 2012, Vol 1, Issue 3
Abstract
In this paper, the Bayesian analysis of scale parameter of inverse Gaussian distribution has been considered. The Bayes estimators along with corresponding risks have been derived under a class of priors and using various loss functions. The Bayesian credible intervals have been derived for the said parameter. In order to predict the future values of the variable the posterior predictive distributions have been constructed under different priors. A simulation study has been conducted for different parametric values to assess and compare the performance of different estimators.
Authors and Affiliations
N. Feroze
Keywords
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