We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Nonparametric estimation of the relative error in functional regression and censored data.
- Authors
MECHAB, BOUBAKER; HAMIDI, NESRINE; BENAISSA, SAMIR
- Abstract
In this paper, the almost complete consistency and the asymptotic normality of the estimator of the regression operator in the case of a censored response given a functional explanatory variable are investigated under some mild conditions. The latter is constructed from the minimization of the mean squared relative error. The novelty of this work compared to the works found in the literature is that the response variable is censored. A simulation study is carried out to compare the finite sample performance based on mean square error between the classical regression and the relative error regression. Moreover, a real data study is used to illustrate our methodology.
- Publication
Chilean Journal of Statistics (ChJS), 2019, Vol 10, Issue 2, p177
- ISSN
0718-7912
- Publication type
Academic Journal