2020
DOI: 10.30526/33.1.2375
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On Estimation of P(Y<X) in Case Inverse Kumaraswamy Distribution

Abstract: The estimation of the stressـ strength reliability of Invers Kumaraswamy distribution will be introduced in this paper based on the maximum likelihood, moment and shrinkage methods. The mean squared error has been used to compare among proposed estimators. Also a Monte Carlo simulation study is conducted to investigate the performance of the proposed methods in this paper.

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Cited by 3 publications
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“…They also proposed a related distribution, referred to as the log-exponentiated Kumaraswamy (log-EK) distribution and, which extends the generalized exponential and double generalized exponential distributions. The inverted Kumaraswamy distribution is derived by Hameed et al (2020). The estimation of stress strength (S-S) reliability for two shape parameters α and β using this distribution.…”
Section: Introductionmentioning
confidence: 99%
“…They also proposed a related distribution, referred to as the log-exponentiated Kumaraswamy (log-EK) distribution and, which extends the generalized exponential and double generalized exponential distributions. The inverted Kumaraswamy distribution is derived by Hameed et al (2020). The estimation of stress strength (S-S) reliability for two shape parameters α and β using this distribution.…”
Section: Introductionmentioning
confidence: 99%