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In this paper we propose support vector quantile regression (SVQR) forrandomly right censored data. The proposed procedure basically utilizesiterative method based on the empirical distribution functions of the cen-sored times and the sample quantiles of the observed variables, and appliessupport vector regression for the estimation of the quantile function. Ex-perimental results are then presented to indicate the performance of theproposed procedure.