Bayesian estimation of the shape parameter of a generalized pareto distribution under asymmetric loss functions

Himanshu Pandey, Arun Kumar Rao

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

In this paper Bayes estimators of the shape parameter of the generalized Pareto distribution have been obtained by taking quasi, inverted gamma and uniform prior distributions using the linex, precautionary and entropy loss functions. These are compared with the corresponding Bayes estimators under the squared error loss function.

Original languageEnglish
Pages (from-to)69-83
Number of pages15
JournalHacettepe Journal of Mathematics and Statistics
Volume38
Issue number1
StatePublished - 1 Jan 2009
Externally publishedYes

Keywords

  • Asymmetric loss function
  • Pareto distribution
  • Shape parameter

ASJC Scopus subject areas

  • Analysis
  • Algebra and Number Theory
  • Statistics and Probability
  • Geometry and Topology

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