Bivariate general exponential models with stress-strength reliability application | ||||
| Journal of the Egyptian Mathematical Society | ||||
| Volume 28, Issue 1, June 2020, Page 1-15 PDF (505.01 K) | ||||
| DOI: 10.1186/s42787-020-0069-y | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| S. K. khames; N. A. Mokhlis | ||||
| Department of Mathematics, Faculty of Women, Ain Shams University, Cairo, Egypt | ||||
| Abstract | ||||
| In this paper, we introduce two families of general bivariate distributions. We refer to these families as general bivariate exponential family and general bivariate inverse exponential family. Many bivariate distributions in the literature are members of the proposed families. Some properties of the proposed families are discussed, as well as a characterization associated with the stress-strength reliability parameter, R, is presented. Concerning R, the maximum likelihood estimators and a simple estimator with an explicit form depending on some marginal distributions are obtained in case of complete sampling. When the stress is censored at the strength, an explicit estimator of R is also obtained. The results obtained can be applied to a variety of bivariate distributions in the literature. A numerical illustration is applied on some well-known distributions. Finally a real data example is presented to fit one of the proposed models. | ||||
| Keywords | ||||
| Stress-strength reliability; Exponential distribution model; Inverse exponential distribution model; Maximum likelihood estimator | ||||
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