Comparison the Robust Estimators Nonparametric of Nonparametric Regressions
DOI:
https://doi.org/10.25130/tjps.v28i1.1271Keywords:
Mean Absolute Deviation (MAD), Mean Squares of Integral Error (MSIE), Real function k (h), Weight Series (wi)Abstract
In order to get rid of or reduce the abnormal values of some phenomena that may be the reason for not obtaining the desired results. This makes us to get conclusions far from reality for the phenomenon we are studying. That the traditional nonparametric estimators are very sensitive to anomalous values, which prompted us to use the fortified estimators because they are not much affected by the anomalous values, as well as the nonparametric regression because it does not depend on the previous determinants or assumptions, but it depends directly and fundamentally on the data.
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