Comparison of some Bayesian shrinkage estimation for Frechet distribution with simulations

Document Type : Research Paper

Authors

1 Department of Statistics, Faculty of Administration and Economics, Kerbala University, Iraq

2 AL Amall Collage, Kerbala, Iraq

Abstract

The Frechet distribution is one of the important statistical distributions and it has many applications, especially in the field of distributing the maximum extent of disease precipitation and river drainage, and estimating the parameters of the Frechet distribution is very important, and for that research came in an attempt to compare several methods of estimating the parameter of Frechet distribution based on different Bayesian methods with (square loss, Linux and Unix) functions. In this research, several simulation experiments were conducted according to the difference in (sample size, value of distribution parameters and estimation methods) and the results were compared based on mean square error criteria, it is possible to use other estimation methods such as (moments and percentile), for other distributions such as (Gumbel and Lindley).

Keywords

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Volume 14, Issue 1
January 2023
Pages 2265-2278
  • Receive Date: 05 August 2022
  • Revise Date: 26 September 2022
  • Accept Date: 11 November 2022