Estimation Curve of Mixed Spline Truncated and Fourier Series Estimator for Geographically Weighted Nonparametric Regression

Geographically Weighted Regression (GWR) is the development of multiple linear regression models used in spatial data. The assumption heterogeneity results each location having different characteristics and allows relationships between response variable predictor to be unknown, hence nonparametric becomes one alternatives that can used. In addition, functions are not always same variables. This study aims use Nonparametric (GWNR) model with a mixed estimator truncated spline Fourier series. Both estimators expected overcome unknown data patterns GWNR then determined using Maximum Likelihood Estimator (WMLE) technique. estimator’s determined. found an biased y.