You are not currently logged in.
Access your personal account or get JSTOR access through your library or other institution:
Nonparametric Quantile Regression with Censored Data
Dorota M. Dabrowska
Sankhyā: The Indian Journal of Statistics, Series A (1961-2002)
Vol. 54, No. 2 (Jun., 1992), pp. 252-259
Published by: Indian Statistical Institute
Stable URL: http://www.jstor.org/stable/25050878
Page Count: 8
Preview not available
We consider a class of nonparametric regression estimates introduced by Beran (1981) to estimate quantiles of the conditional distribution functions in the presence of right censoring. Usinge xponential bounds for the oscillation modulus of multivariate empirical processes developed by Stute (1984a), we obtain a Bahadur type representation of kernel type quantile regression estimates.
Sankhyā: The Indian Journal of Statistics, Series A (1961-2002) © 1992 Indian Statistical Institute