Estimation of reliability of multicomponent stress–strength for a Kumaraswamy distribution

By Sanku Dey, Josmar Mazucheli, Mohammed Zafar Anis. 2017

79 citations recorded by the source corpus.

Subfields: Safety, Risk, Reliability and Quality, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/fd87e5353c88fb49abcfb0924a444685152b5e15

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Safety, Risk, Reliability and Quality

1. Shuo-jye Wu
2. Sanku Dey

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, background): “We mention that examples with similar nature abound in many industrial experiments where efficient estimation of stress-strength reliability is required, see for instance, Dey et al. (2017), Kızılaslan (2017), Nadar et al. (2014), among others. The problem of estimating reliability for various lifet”