Fourth Edition of the International Conference on Research in Applied Mathematics and Computer Science ICRAMCS 2022
 March 24-25-26, 2022
Online and Face-to-Face Conference

ICRAMCS, 4 (2022) | Proceedings ISSN: 2605-7700

Research Communication | Open Access
Volume 2022 | Communication ID 318
A non-parametric estimation of the conditional high-risk point for associated and functional data
Hamza Daoudi, Imad Bouaker, Abderrahmane Belguerna
Academic Editor: Youssef EL FOUTAYENI
Received
Accepted
Published
January 30, 2022
March 03, 2275
April 15, 2275

Abstract: The maximum of the conditional hazard function is a parameter of great importance in statistics studies, because it constitutes the maximum risk of occurrence of an earthquake in a given interval of time. Using the kernel non parametric estimates by Ferraty et al. [5], of the first derivative of the conditional hazard function, The main contribution of this work is the study of The maximum of the conditional hazard function of the estimator of the conditional hazard function in case of associated data. we establish a convergence properties of an estimate of the maximum in the context of ...