Among those papers discussing statistical
analysis of competing failure data, most of them assume independence
for failure modes. In this paper we use copula as the dependence
link function to assess competing risk models in accelerated life
testing. We compare via simulation the results of lifetime when the
failure modes are dependent with those when the failure modes are
independent, and apply our approach to a real data set in the
literature.