Abstract
In this paper, we study an L-l-norm kernel estimator of the conditional quantile (CQ) of a scalar response variable Y given a random variable (rv) X taking values in a semi -metric space. The almost complete (a. co.) consistency and the asymptotic normality of this estimate are obtained when the sample is an a -mixing sequence. We illustrate our methodology by applying the estimator to climatological data.