@Article{cmc.2020.011491,
AUTHOR = {Ahmed Bachir, Ibrahim Mufrah Almanjahie, Mohammed Kadi Attouch},
TITLE = {The <i>k</i> Nearest Neighbors Estimator of the M-Regression in  Functional Statistics},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {65},
YEAR = {2020},
NUMBER = {3},
PAGES = {2049--2064},
URL = {http://www.techscience.com/cmc/v65n3/40154},
ISSN = {1546-2226},
ABSTRACT = {It is well known that the nonparametric estimation of the regression function is 
highly sensitive to the presence of even a small proportion of outliers in the data. To solve 
the problem of typical observations when the covariates of the nonparametric component 
are functional, the robust estimates for the regression parameter and regression operator 
are introduced. The main propose of the paper is to consider data-driven methods of 
selecting the number of neighbors in order to make the proposed processes fully automatic. 
We use the },
DOI = {10.32604/cmc.2020.011491}
}