Goodness‐of‐fit tests for parametric models in censored regression

The authors propose a goodness‐of‐fit test for parametric regression models when the response variable is right‐censored. Their test compares an estimation of the error distribution based on parametric residuals to another estimation relying on nonparametric residuals. They call on a bootstrap mechanism in order to approximate the critical values of tests based on Kolmogorov‐Smirnov and Cramér‐von Mises type statistics. They also present the results of Monte Carlo simulations and use data from a study about quasars to illustrate their work.