International Journal of Nonlinear Analysis and Applications

Comparing three estimators of fuzzy reliability for one scale parameter Rayleigh distribution

Document Type : Research Paper

Authors

1 Dijlah University College, Baghdad, Iraq.

2 College of Education Ibn Al Haitham, University of Baghdad, Baghdad, Iraq.

3 Business information college, University of information Technology and communications, Baghdad, Iraq.

Abstract

This paper deals with comparing three different estimators of fuzzy reliability estimator of one scale parameter Rayleigh distribution were first of all the one scale parameter Rayleigh is defined. Afterwards, the cumulative distribution function is derived, as well as the reliability function is also found. The parameters θ is estimated by three different methods, which are maximum likelihood, and moments, as well as the third method of estimation which is called percentile method or Least Square method, where the estimator $(\hat{\vartheta}_{pec})$ obtained from Minimizing the total sum of the square between given C DF, and one non-parametric estimator like $\hat{F}(ti,\theta)=\frac{i}{n+1}$ after the estimator of $(\theta)$, which $(\hat{\theta})$ is obtained. We work on comparing different fuzzy reliability estimators and all the results are explained besides different sets of taking four sample sizes $(n= 20, 40, 60$, and $80)$.

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 12, Issue 2
November 2021
Pages 2013-2020
  • Receive Date: 02 March 2021
  • Revise Date: 06 April 2021
  • Accept Date: 03 July 2021