Estimation and tests with bivariate censored data

Abstract

In this work, we study the asymptotic properties of the maximum likelihood estimator, for bivariate right censored data. We also propose a generalization of the likelihood ratio test and the chi-square test of fit, for this type of data. Finally, we illustrate the performances of our proposed tests through a simulation study and a real data application.