Journal of Statistics Applications & Probability
In this article, a competing risk model is analyzed in the presence of complete and censored data when the causes of failures follow different family of failure time distributions. We derive the maximum likelihood and Bayes estimators of the parameters involved in the model and the relative risks. The goodness-of-fit of the competing risks model with the considered failure time distributions to a real data set is also demonstrated.
Singh, Bhupendra and Tomer, Sachin
"Inferences on the Competing Risk Model,"
Journal of Statistics Applications & Probability: Vol. 3:
3, Article 14.
Available at: https://digitalcommons.aaru.edu.jo/jsap/vol3/iss3/14