TY - JOUR
TI - Bayesian inference for a simple step-stress accelerated dependent competing failure model
AU - Wang Ying
AU - Yan Zai-Zai
JN - Thermal Science
PY - 2023
VL - 27
IS - 3
SP - 2091
EP - 2098
PT - Article
AB - The Copula approach can be used to describe the dependence structure between  variables. In this paper, by using a Bivariate Clayton copula, we discuss  the statistical analysis of a simple step-stress accelerated dependent  competing failure model under progressively Type-II censoring sample. With  the assumption of cumulative exposure, the Bayesian estimations of the  model parameters are derived. Based on Monte-Carlo simulation, the  precision of the estimates is assessed. Finally, the statistical analysis  of an actual data set of a solar lighting insulation system has been  presented for illustrative purposes.