Journal of Statistics Applications & Probability
Abstract
This paper is devoted to discuss the stress-strength reliability model R = Pr(Y < X) when X and Y have an exponentiated generalized inverse Weibull distribution (EGIW) with different parameters. The problem of stress-strength reliability is studied to obtain estimates of a component reliability function of EGIW distribution. Reliability for multi-component stress-strength model for EGIW distribution is also studied. Maximum likelihood estimation for stress-strength reliability of underlying distribution is performed. Bayesian estimator of R is obtained using importance sampling technique. A simulation study to investigate and compare the performance of each method of estimation is performed. Finally analysis of a real data set has also been presented for illustrative purposes.
Digital Object Identifier (DOI)
http://dx.doi.org/10.18576/jsap/070112
Recommended Citation
M. Mohie El-Din, M.; Sadek, A.; and H. Elmeghawry, Sh.
(2018)
"Stress-Strength Reliability Estimation for Exponentiated Generalized Inverse Weibull Distribution,"
Journal of Statistics Applications & Probability: Vol. 7:
Iss.
1, Article 12.
DOI: http://dx.doi.org/10.18576/jsap/070112
Available at:
https://digitalcommons.aaru.edu.jo/jsap/vol7/iss1/12