Failure rate, vitality, and residual lifetime measures: Characterizations based on stress-strength bivariate model with application to an automated life test data
Keywords: Bivariate distributions, Reliability analysis, Maximum likelihood method, Bayesian estimation.
AbstractIn this article, we introduce some reliability concepts for the bivariate Pareto Type II distribution including joint hazard rate function, CDF for parallel and series systems, joint mean residual lifetime, and joint vitality function. The maximum likelihood and Bayesian estimation methods are utilized to estimate the model parameters. Simulation is carried out to assess the performance of the maximum likelihood and Bayesian estimators, and it is found that the two approaches work quite well in estimation process. Finally, a real lifetime data is analyzed to show the flexibility and the importance of the introduced bivariate mode.
How to Cite
Eliwa, M. S., Tyagi, A., Alizadeh, M., & El-Morshedy, M. (2023). Failure rate, vitality, and residual lifetime measures: Characterizations based on stress-strength bivariate model with application to an automated life test data. Statistics, Optimization & Information Computing, 12(1), 256-266. https://doi.org/10.19139/soic-2310-5070-1321
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