Research Communication | Open Access
Volume 2019 | Communication ID 161
Relative error regression under random censorship data
Omar Fetitah
Academic Editor: Youssef EL FOUTAYENI
Received
Accepted
Published
Jan 30, 2019
Feb 26, 2019
Mar 01, 2019

Abstract: In this work, we investigate the asymptotic properties of a nonparametric estimator of the relative error regression, in the case of a scalar censored response, we use the mean squared relative error as a loss function to construct a nonparametric estimator of the regression function of these censored data. We establish the strong almost complete convergence rate of these estimators.










The first International Conference on Research in Applied Mathematics and Computer Science (ICRAMCS 2019)