Weighted Exponential Distribution: Approximate Bayes Estimations with Fuzzy Data

Authors

  • Nadia Hashim Al-Noor Department of Mathematics, College of Science, Al-Mustansiriyah University, Baghdad-Iraq.
  • Lamyaa K Hussein Department of Mathematics, College of Science, Al-Mustansiriyah University, Baghdad-Iraq.

Keywords:

Weighted Exponential Distribution, Bayes Estimation, Lindley’s Approximation, Squared Error Loss Function, Linex Loss Function, Fuzzy Data

Abstract

This paper aims to focus on Bayes estimations for the shape and scale parameters along with the reliability function of weighted exponential distribution with fuzzy data. Bayes estimations have been obtained using symmetric and asymmetric loss functions. Lindley's approximation method has been used for the integrals that cannot be solved in closed form. At the end, some comparison for Bayes estimations are studied through a Monte Carlo simulation study.

Published

2018-10-25

Issue

Section

Articles

How to Cite

[1]
“Weighted Exponential Distribution: Approximate Bayes Estimations with Fuzzy Data”, ANJS, no. 1, pp. 174–185, Oct. 2018, Accessed: Apr. 20, 2024. [Online]. Available: https://anjs.edu.iq/index.php/anjs/article/view/2032