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Please use this identifier to cite or link to this item: 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
Citation: 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).....
URI: http://hdl.handle.net/1942/1501
DOI: 10.1111/j.1435-5957.2006.00082.x
ISI #: 000241604300006
ISSN: 1056-8190
Category: A1
Type: Journal Contribution
Validation: ecoom, 2007
Appears in Collections: Research publications

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