摘要:In this pap er, we study the nonparametric estimator of the conditional hazard func- tion using the k nearest neighbors (k-NN) estimation method for a scalar response variable given a random variable taking values in a semi-metric space. We give the almost complete convergence (its corresponding rate) of this estimator and we estab- lish the asymptotic normality. Then the e.ectiveness of this metho d is exhibited by a comparison with the kernel method estimation given in Ferraty et al. ([12]) and Laksaci and Mechab ([15]) in both cases simulated data and real data.
关键词:functional data; nonparametric regression; k-NN estimator; the conditional hazard ; function; rate of convergence; random bandwidth; asymptotic normality