- Publisher: Al-Qadisiyah Journal for Administrative and Economic Sciences
- Available in: PDF
- DOI: 10.33961/22.2.2020/11-20
- Published: May 19, 2021
Comparing Different Fuzzy Reliability Estimators of Kumaraswamy
Maha Adil Abdullah
University of Baghdad, Post – Graduate Institute For
Accounting & Financial Studies
|Corresponding Author: Maha Adil Abdullah|
|Abstract : This paper deals with comparing three different estimators of fuzzy Reliability function of two parameters
, kumaraswamy distribution , which is one of continouse probability distribution , were its Random variable X ,
taken values (0,1) .
The methods of estimations are maximum likelihood (MLE) , moment estimator (MOM) , and percentiles method
(PEC) after all estimators are found we compare fuzzy Reliability by simulation ,taking different values of
parameters and sample size , all estimators of fuzzy Reliability function due to different sample size , and
different sets of initial values , and explained in tables.
Keywords : kumaraswamy Dist , (α,β) , Maximum likelihood ( MLE) , Moments estimators ( MOM ) , percentiles
estimators ( PEC) .