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Nonparametric Estimation of the conditional hazard quantile function

El Hadj Hamel, Nadia Kadiri, Abbes Rabhi

Abstract



In this paper, we study an kernel estimator of the conditional hazard quantile function (CHQF) of a scalar response variable Y given a random variable (rv) X taking values in a semi-metric space and using the proposed estimator based of the kernel smoothing method. The almost complete consistency and the asymptotic normality of this estimate are obtained when the sample is an independante sequence..

Keywords


Asymptotic normality, conditional hazard quantile function, functional data, kernel smoothing, nonparametric estimator

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