Resumen de Goodness-of-fit tests for censored regression based on artificial data points
Wenceslao González Manteiga, César Andrés Sánchez Sellero, Cédric Heuchenne, Alessandro Beretta
Suppose we have a location-scale regression model where the location is the conditional mean and the scale is the conditional standard deviation; the response is possibly right-censored, the covariate is fully observed, and the error is independent of the covariate. We propose new goodness-of-fit testing procedures for the conditional mean and variance based on an integrated regression function technique which uses artificial data points. We obtain the weak convergence of the resulting processes and study their finite sample behavior via simulations. Finally, we analyze a data set about unemployment in Galicia.
