Estimation of scale parameter of inverse gaussian distribution under a bayesian framework using different loss functions

Estimation of scale parameter of inverse gaussian distribution under a bayesian framework using different loss functions

Journal

  • Journal title: Scientific Journal of Review
  • ISSN: 2322-2433 (online)
  • Publisher: Sjournals
  • Country of publisher: iran, islamic republic of
  • Date added to EuroPub: 2017/Feb/19

Subject and more

  • LCC Subject Category: Biological Sciences, Computer and Information Science, Engineering, Environmental Sciences, Mathematics
  • Publisher's keywords: Bayes estimators, Posterior risks, Posterior predictive distribution, Credible intervals (C.I)
  • Language of fulltext: english
  • Full-text formats available: PDF

AUTHORS

    N. Feroze

EDITORIAL INFORMATION

FULL TEXT

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.

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