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Development of nonparametric geographically weighted regressionusing truncated spline approach |
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| รหัสดีโอไอ | |
| Creator | 1. Sifriyani 2. S. H. Kartiko 3. I. N. Budiantara 4. Gunardi |
| Title | Development of nonparametric geographically weighted regressionusing truncated spline approach |
| Publisher | Research and Development Office, Prince of Songkla University |
| Publication Year | 2561 |
| Journal Title | Songklanakarin Journal of Science and Technology |
| Journal Vol. | 40 |
| Journal No. | 4 |
| Page no. | 909 |
| Keyword | nonparametric geographically weighted regression, truncated spline, spatial data, unbiased estimation |
| URL Website | http://rdo.psu.ac.th/sjstweb/index.php |
| ISSN | 0125-3395 |
| Abstract | Nonparametric geographically weighted regression with truncated spline approach is a new method of statisticalscience. It is used to solve the problems of regression analysis of spatial data if the regression curve is unknown. This method isthe development of nonparametric regression with truncated spline function approach to the analysis of spatial data. Splinetruncated approach can be a solution for solving the modeling problem of spatial data analysis if the data pattern between theresponse and the predictor variables is unknown or regression curve is not known. This study focused on finding the estimators ofthe model nonparametric geographically weighted regression by maximum likelihood estimator (MLE) and then these estimatorsare investigated the unbiased property. The results showed nonparametric geographically weighted regression with truncatedspline approach can be used in spatial data to solve problems regression curve that cannot be identified. |
