A Comparison Between New Modification of ANWK and Classical ANWK Methods in Nonparametric Regression

Nonparametric kernel estimators are mostly used in a variety of statistical research fields. Nadaraya-Watson estimator (NWK) is one the most important nonparametric that often regression models with fixed bandwidth. In this article, we consider four new Proposed Adaptive Kernel Regression Estimators (Interquartile Range, Standard Deviation, Mean Absolute Devotion, and Median Deviation) rather than (Fixed Bandwidth, Geometric, Mean, Median). The outcomes both simulation actual data Leukemia Cancer show ANW devotion, more effective estimations bandwidth previous studies using Square Error (MSE) Criterion.