Title: Geographically weight seemingly unrelated regression (GWSUR): a method for exploring spatio-temporal heterogeneity
Abstract:Geographically weight seemingly unrelated regression is a useful technique to explore the temporal and spatial heterogeneity simultaneously in space-time data analysis. In this article, a local linear...Geographically weight seemingly unrelated regression is a useful technique to explore the temporal and spatial heterogeneity simultaneously in space-time data analysis. In this article, a local linear-based estimating approach is developed to estimate the unknown coefficient functions. Some simulations are conducted to examine the performance of our proposed method and the results are satisfactory. Finally, a real data example is considered.Read More
Publication Year: 2017
Publication Date: 2017-01-18
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 4
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