期刊文献+

GWR模型中权函数的选取与窗宽参数的确定 被引量:10

Selecting Weighting Function and Determining Bandwidth Parameter of GWR Model
下载PDF
导出
摘要 以地理加权回归模型为基础,通过假定其中回归变量的系数是地理位置的任意函数,给出了选取权函数的原则和确定窗宽参数的交叉确认法,并且讨论了它们的作用. Based upon geographically weighted regression model,this paper gives the principle of selecting weighting function and cross-validation procedure of determining bandwidth parameter and discusses their action by assuming the coefficients of the regressors to be arbitrary function of geography location.
出处 《甘肃联合大学学报(自然科学版)》 2008年第3期10-12,共3页 Journal of Gansu Lianhe University :Natural Sciences
关键词 地理加权回归模型 权函数 窗宽参数 geographically weighted regression model weighting function bandwidth parameter
  • 相关文献

参考文献10

二级参考文献52

  • 1[1]Yanagimoto T and Yanagimoto M. The use of marginal likelihood for a diagnostic test for the goodness of fit of the simple linear regression model. Technometrics, 1987, 29: 95-101.
  • 2[2]Cox D, Koh E, Wahba G and Yandell B S. Testing the (parametric) null model hypothesis in (semiparametric) partial and generalized spline models. The Annals of Statistics, 1988, 16: 113-119.
  • 3[3]Eubank R L and Spiegelman C H. Testing the goodness of fit of a linear model via nonparametric regression techniques. Journal of the American Statistical Association, 1990, 85: 387-392.
  • 4[4]Jayasuriya B R. Testing for polynomial regression using nonparametric regression techniques. Journal of the American Statistical Association, 1996, 91: 1626-1631.
  • 5[5]Azzalini A, Bowman A W and Hardle W. On the use of nonparametric regression for model checking. Biometrika, 1989, 76: 1-11.
  • 6[6]Hardle W and Mammen E. Comparing nonparametric versus parametric regression fits. The Annals of Statistics, 1993, 21: 1926-1947.
  • 7[7]Hjellvik V and Tjφstheim D. Nonparametric tests of linearity for time series. Biometrika, 1995,82: 351-368.
  • 8[8]Cleveland W S. Robust locally weighted regression and smoothing scatterplots. Journal of the American Statistical Association, 1979, 74: 829-836.
  • 9[9]Cleveland W S and Devlin S J. Locally weighted regression: an approach to regression analysis by local fitting. Journal of the American Statistical Association, 1988, 83: 596-610.
  • 10[10]Fan J and Gijbels I. Local Polynomial Regression and Its Applications. London: Chapman and Hall, 1996.

共引文献45

同被引文献156

引证文献10

二级引证文献51

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部