A Bayesian Approach for Estimating Parameter of Rayleigh Distribution

Authors

  • J. Mahanta University of Chittagong
  • M. B. A. Talukdar Department of Statistics University of Chittagong

DOI:

https://doi.org/10.3329/jsr.v11i1.37065

Abstract

This paper is concerned with estimating the parameter of Rayleigh distribution (special case of two parameters Weibull distribution) by adopting Bayesian approach under squared error (SE), LINEX, MLINEX loss function. The performances of the obtained estimators for different types of loss functions are then compared. Better result is found in Bayesian approach under MLINEX loss function. Bayes risk of the estimators are also computed and presented in graphs.

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Author Biography

J. Mahanta, University of Chittagong

Assistant Professor

Department of Statistics
University of Chittagong

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Published

2019-01-01

How to Cite

Mahanta, J., & Talukdar, M. B. A. (2019). A Bayesian Approach for Estimating Parameter of Rayleigh Distribution. Journal of Scientific Research, 11(1), 23–39. https://doi.org/10.3329/jsr.v11i1.37065

Issue

Vol. 11 No. 1 (2019)

Section

Section A: Physical and Mathematical Sciences

License

© Journal of Scientific Research

Creative Commons License

Articles published in the "Journal of Scientific Research" are Open Access articles under a Creative Commons Attribution-ShareAlike 4.0 International license (CC BY-SA 4.0). This license permits use, distribution and reproduction in any medium, provided the original work is properly cited and initial publication in this journal. In addition to that, users must provide a link to the license, indicate if changes are made and distribute using the same license as original if the original content has been remixed, transformed or built upon.