Smooth Conditional Distribution Function and Quantiles Under Random Censorship

Eve Leconte, Sandrine Casanova and C. Tohomas-Agnan

Working Papers from Toulouse - GREMAQ

Abstract: We consider a nonparametric random design regression model in which the response variable is possibly right censored. The aim of this paper is to estimate the conditional destribution function and the conditional x-quantile of the response variable. We restrict attention to the case where the response variable as well as the explanatory variable are unidimensional and continuous. We propose and discuss two classes of estimators which are smooth with respect to the response variable as well as to the covariate. Some simulations demonstrate that the new methods have better mean square error performances than the generalized Kaplan-Meier estimator considered in the literature by Dabrowska and Gonzales-Manteiga and Cadarso-Suarez.

Keywords: DISTRIBUTION; MODELS; MATHEMATICS (search for similar items in EconPapers)
JEL-codes: C14 C25 (search for similar items in EconPapers)
Pages: 32 pages
Date: 2000
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:fth:gremaq:00-543

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