ABSTRACT
In this work, we propose the construction of a chi-squared goodness-of-fit test in censored data case, for Bertholon model which can analyse various competing risks of failure or death. This test is based on a modification of the Nikulin-Rao-Robson (NRR) statistic proposed by Bagdonavicius and Nikulin (Citation2011a, Citation2011b) for censored data. We applied this test to numerical examples from simulated samples and real data.