On the Fuzzy Reliability Estimation for standard Kumaraswamey Distribution | ||||
| Benha Journal of Applied Sciences | ||||
| Article 23, Volume 7, Issue 5, May 2022, Page 157-164 PDF (829.89 K) | ||||
| Document Type: Original Research Papers | ||||
| DOI: 10.21608/bjas.2022.244765 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| N.A. AL-Saadoon; M.M. Ramadan; R.S. Mahmoud | ||||
| Statistics, Mathematics, and Insurance, Faculty of Commerce, Benha Univ., Benha, Egypt | ||||
| Abstract | ||||
| In this article, we considered tow procedures to estimate the fuzzy reliability for Kumaraswamy distribution, first depends on fuzzy reliability definition that uses the trapezoidal rule in order to find the numerical integration, and second is Bayesian procedure which in clouds different cases depends on sample data and hyper –parameters of prior gamma distribution. | ||||
| Keywords | ||||
| Fuzzy reliability; Kumaraswamy distribution; Maximum Likelihood; Bayesian estimation; Membership functions | ||||
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