Ahmed Bachir1, *, Ibrahim Mufrah Almanjahie1, 2, Mohammed Kadi Attouch3
CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2049-2064, 2020, DOI:10.32604/cmc.2020.011491
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.
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