English, Article edition: A Note on the Mixed Geographically Weighted Regression Model Chang-Lin Mei; Shu-Yuan He; Kai-Tai Fang

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Physical Description
  • article
Language
  • English

Edition details

Title
  • A Note on the Mixed Geographically Weighted Regression Model
Author
  • Chang-Lin Mei
  • Shu-Yuan He
  • Kai-Tai Fang
Physical Description
  • article
Notes
  • A mixed, geographically weighted regression (GWR) model is useful in the situation where certain explanatory variables influencing the response are global while others are local. Undoubtedly, how to identify these two types of the explanatory variables is essential for building such a model. Nevertheless, It seems that there has not been a formal way to achieve this task. Based on some work on the GWR technique and the distribution theory of quadratic forms in normal variables, a statistical test approach is suggested here to identify a mixed GWR model. Then, this note mainly focuses on simulation studies to examine the performance of the test and to provide some guidelines for performing the test in practice. The simulation studies demonstrate that the test works quite well and provides a feasible way to choose an appropriate mixed GWR model for a given data set. Copyright Blackwell Publishers, 2004
  • RePEc:bla:jregsc:v:44:y:2004:i:1:p:143-157
Language
  • English
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