Ali Rostami - Department of Statistics, University of Birjand, Birjand, Iran
Mohammad Khanjari Sadegh - Department of Statistics, University of Birjand, Birjand, Iran
Mohammad Khorashadizadeh - Department of Statistics, University of Birjand, Birjand, Iran

In this paper‎, ‎we consider the estimation of the stress-strength reliability of a coherent system‎. ‎The distributions of stress and strength random variables are the members of a general class of distributions‎. ‎For a series-parallel system‎, ‎the reliability of the stress-strength model is estimated using the maximum likelihood estimation‎, ‎asymptotic confidence interval‎, ‎uniformly minimum variance unbiased estimation‎, ‎and Bayes estimation‎. ‎Also‎, ‎simulation studies are performed‎, ‎and two real data sets are analyzed.

Asymptotic confidence interval, Bayes estimation, Maximum likelihood estimation, Stress-strength reliability, Uniformly minimum variance unbiased estimation