Academic Editor: Youssef EL FOUTAYENI
Received |
Accepted |
Published |
January 21, 2021 |
February 15, 2021 |
March 15, 2021 |
Abstract: We have in this paper, a study on the asymptotic properties of the kernel estimator of the conditional hazard function introduced by Ferraty et al. [6], and daoudi et al. [2] when the covariate is functional. In this communication, we present the investigate of the convergence rate of the proposed estimator in case of functional associated data. We performed out simulation experiments to examine the behavior of this asymptotic property over finite sample data. Our theoretical and practical studies confirm that our kernel estimator has good asymptotic properties.