Comparing Different Fuzzy Reliability Estimators of Kumaraswamy
Distribution
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) . |
