Classical and Bayesian estimation of reliability in a multicomponent stress–strength model based on a general class of inverse exponentiated distributions

By Fatih Kızılaslan. 2018

53 citations recorded by the source corpus.

Subfields: Mechanics of Materials, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/210be4374331061d91e39887e6449608e02166f4

How researchers see this paper

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

In Mechanics of Materials

1. Yogesh Mani Tripathi

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): “For this purpose, we try to analyze the monthly data from Shasta Reservoir in California, (see also, Kızılaslan & Nadar (2016) and Kohansal (2017)).”