Bayesian inference for a simple step-stress accelerated dependent competing failure model
نویسندگان
چکیده
The Copula approach can be used to describe the dependence structure between variables. In this paper, by using a Bivariate Clayton copula, we discuss statistical analysis of simple step-stress accelerated dependent competing failure model under progressively Type-II censoring sample. With assumption cumulative exposure, Bayesian estimations parameters are derived. Based on Monte-Carlo simulation, precision estimates is assessed. Finally, an actual data set solar lighting insulation system has been presented for illustrative purposes.
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ژورنال
عنوان ژورنال: Thermal Science
سال: 2023
ISSN: ['0354-9836', '2334-7163']
DOI: https://doi.org/10.2298/tsci2303091w