On the Estimation of Stress-Strength Model Reliability Parameter of Power Rayleigh Distribution

Authors

  • Abdulrhaman A.J. Ahmed Department of Mathematics, College of Education for pure Science, University Of Anbar, Anbar, Iraq
  • Feras Sh. M. Batah Department of Mathematics, College of Education for pure Science, University Of Anbar, Anbar, Iraq https://orcid.org/0000-0003-1254-3080

DOI:

https://doi.org/10.24996/ijs.2023.64.2.27

Keywords:

Power Rayleigh Distribution, Stress-Strength Reliability, Maximum Likelihood, Exact estimators of moments, Percentile, ordinary and weighted Least squares estimators, the Shrinkage method

Abstract

      The aim of this paper is to estimate a single reliability system (R = P, Z > W) with a strength Z subjected to a stress W in a stress-strength model that follows a power Rayleigh distribution. It proposes, generates and examines eight methods and techniques for estimating distribution parameters and reliability functions. These methods are the maximum likelihood estimation(MLE), the exact moment estimation (EMME), the percentile estimation (PE), the least-squares estimation (LSE), the weighted least squares estimation (WLSE) and three shrinkage estimation methods (sh1) (sh2) (sh3). We also use the mean square error (MSE) Bias and the mean absolute percentage error (MAPE) to compare the estimation methods. Both theoretical comparison, simulation and real data are used. The results in light of this distribution show the advantage of the proposed methods.

Downloads

Published

2023-02-28

Issue

Section

Mathematics

How to Cite

On the Estimation of Stress-Strength Model Reliability Parameter of Power Rayleigh Distribution. (2023). Iraqi Journal of Science, 64(2), 809-822. https://doi.org/10.24996/ijs.2023.64.2.27

Similar Articles

1-10 of 1556

You may also start an advanced similarity search for this article.