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http://hdl.handle.net/1942/1501
Title: | Ecological inference and spatial heterogeneity: an entropy-based distributionally weighted regression approach | Authors: | PEETERS, Ludo Chasco, C. |
Issue Date: | 2006 | Publisher: | Blackwell | Source: | Papers in Regional Science, 85(2). p. 257-276 | Abstract: | In this article we compare two competing approaches to ecological modelling using test data. The first approach is based on the "traditional" method of Ordinary Least Squares (OLS), assuming constancy of parameters across disaggregated spatial units (spatial homogeneity). The second (new) approach is based on the method of Generalised Cross-Entropy (GCE), assuming varying parameters (spatial heterogeneity). The latter approach is designated as entropy-based "distributionally weighted regression" (DWR)..... | Document URI: | http://hdl.handle.net/1942/1501 | ISSN: | 1056-8190 | e-ISSN: | 1435-5957 | DOI: | 10.1111/j.1435-5957.2006.00082.x | ISI #: | 000241604300006 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2007 |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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ecological.pdf | Peer-reviewed author version | 213.38 kB | Adobe PDF | View/Open |
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