Estimation of reliability in a multicomponent stress–strength model based on a bivariate Kumaraswamy distribution

By Fatih Kızılaslan, Mustafa Nadar. Statistical Papers, 2016

84 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/29939820b3df4e832dbcd72a1ba6769585e4d9e5

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In Statistics and Probability

1. Yogesh Mani Tripathi
2. Tanmay Kayal
3. Devendra Pratap Singh
4. Sanku Dey
5. Liang Wang
6. Shuo-jye Wu
7. Mayank Kumar Jha
8. E. Ahmed

Citations in the corpus

• On estimating the reliability in a multicomponent stress-strength model based on Chen distribution (2020, background): “At recent past, Kizilaslan and Nadar (2015, 2018), Kizilaslan (2017, 2018), and Dey, Mazucheli, and Anis (2017) considered estimation of reliability in multicomponent stress-strength models under classical and Bayesian framework for Weibull, bivariate Kumaraswamy, general class of inverse…”
• Reliability estimation in a multicomponent stress-strength model for unit Burr III distribution under progressive censoring (2020, methodology): “For this purpose, we try to analyze the monthly data from Shasta Reservoir in California, (see also, Kızılaslan & Nadar (2016) and Kohansal (2017)).”