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半参数空间变系数模型的局部线性二阶段估计 被引量:1

The Local Linear Two Stage Estimation for Semiparametric Spatially Varying-coefficient Regression Model
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摘要 针对半参数空间变系数模型,利用二阶段估计方法借助于局部线性拟合技术给出了模型中常值系数估计量的精确表达式;同时给出了实验设计方法,用于验证所提出的估计方法对估计常值系数具有满意的精度和稳定性. The local Unear two stage estimation for fitting the semipaxametric spatially varying-coefficient regression model is proposed,by which an explicit expression for estimators of the constant coefficients in the model can be obtained.Experimental design method axe conducted to examine the performance of the proposed fitting procedure and the results demonstrate that the estimators for the constant coefficients axe quite accurate and stable.
出处 《数学的实践与认识》 北大核心 2017年第7期292-296,共5页 Mathematics in Practice and Theory
基金 河南省高等学校重点科研项目(15A110050 17A110032)
关键词 半参数空间变系数模型 地理加权回归 二阶段估计 广义交叉确认法 semiparametric spatially varying-coefficient regression model geographically weighted regression procedure two stage estimation generalized cross-validation method
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  • 1Mei Changlin Wang NingSchool of Science,Xi’an Jiaotong Univ.,Xi’an 710049..FUNCTIONAL-COEFFICIENT REGRESSION MODEL AND ITS ESTIMATION[J].Applied Mathematics(A Journal of Chinese Universities),2001,16(3):304-314. 被引量:6
  • 2魏传华,梅长林.半参数空间变系数回归模型的两步估计方法及其数值模拟[J].统计与信息论坛,2005,20(1):16-19. 被引量:27
  • 3Anselin L. Spatial Econometrics: Methods and Models[M]. Kluwer Academic, Dordrecht, 1988.
  • 4Fotheringham A S. Charlton M. Brunsdon C. The geography of parameter space: an investigation into spatial non-stationarity[J]. International Journal of Geographical Information Systems, 1996, (10): 605-627.
  • 5Fotheringham A S. Trends in quantitative methods Ⅰ: stressing the local[J]. Progress in Human Geography 1997,21: 88-96.
  • 6Brunsdon C, Fotheringham A S, Charlton M. Geographically weighted regression: a method for exploring spatial nonstationarity[J]. Geographical Analysis, 1996, 28: 281-298.
  • 7Fotheringham A S, Charlton M, Brunsdon C. Measuring spatial variation in relationships with geographically weighted regression[J]. In Recent Developments in Spatial Analysis, Edited by M M Fischer and A Getis,Springer-Verlag, London, 1997. 60-82.
  • 8Leung Yee. Mei Changlin, Zhang Wenxiu. Statistical tests for spatial nonstationarity based on the geographically weighted regression model[J]. Environment and Planning A, 2000, 32: 9-32.
  • 9Mei Changlin, He Shuyuan, Fang Kaitai. A note on the mixed geographically weighted regression model[J].Journal of Regional Science A, 2004, 44: 143-157.
  • 10Bowman A W. An alternative method of cross-validation for the smoothing of density estimate[J]. Biometrika,1984, 71: 353-360.

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