標題: | Tensor product polynomial splines |
作者: | Chen, LA Chan, WY Lee, TS 統計學研究所 Institute of Statistics |
關鍵字: | nonparametric regression;piecewise polynomials;tensor product spline |
公開日期: | 1-一月-1997 |
摘要: | This paper presents a unified study of smoothing tensor product piecewise polynomials as tensor product polynomial splines. This study generalizes the theory of univariate polynomial splines of Poirier (1973) and Smith (1979) to the multivariate setting, and the method proposed herein provides various spline bases that gives great flexibility for selecting models. An example analyzing an Australia wine industry data shows simple tensor product spline can capture the trend in the data appropriately to law of economics whereas multiple lineal model fails in capturing the trend (see Maddala (1988)). |
URI: | http://dx.doi.org/10.1080/03610929708832036 http://hdl.handle.net/11536/149638 |
ISSN: | 0361-0926 |
DOI: | 10.1080/03610929708832036 |
期刊: | COMMUNICATIONS IN STATISTICS-THEORY AND METHODS |
Volume: | 26 |
起始頁: | 2093 |
結束頁: | 2111 |
顯示於類別: | 期刊論文 |