On Estimation of Stress-Strength Model for Exponential Flexible Weibull Extension Distribution Based on K-Records

Authors

  • Ghareeb A. Marei Faculty of Computers and Information System, Egyptian Chinese University, Cairo, Egypt https://orcid.org/0000-0002-0898-2112
  • Hassan M. Aljohani Department of Mathematics and Statistics, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
  • Fatimah M. Alghamdi Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia
  • M. O. Mohamed Department of mathematics, Faculty of Science, Zagazig University, Egypt

DOI:

https://doi.org/10.37256/cm.6220256450

Keywords:

exponential flexible weibull extension, stress-strength reliability model, maximum likelihood estimators, bayesian estimators, monte carlo simulation

Abstract

In this paper, we consider an extension of the record model, which is well known as the K-record. For the Random Variables X and Y, the stress-strength parameter R = P(Y < X), and the EFWE distribution is applied, when the random variables X and Y approach the Exponential Flexible Weibull Extension (EFWE) distribution, which is an extension of the exponential flexible Weibull distribution. The behavior of stress-strength parameters and reliability have been estimated using the k-record data by using maximum likelihood and Bayesian estimators through the Monte Carlo simulation study, which showed satisfactory performance of the estimators. Finally, the stress-strength model of the EFWE distribution is utilized to analyze the actual data that shows the failure times of two distinct types of electrical insulators.

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Published

2025-04-25