Journal
ENVIRONMENTAL AND ECOLOGICAL STATISTICS
Volume 20, Issue 1, Pages 59-67Publisher
SPRINGER
DOI: 10.1007/s10651-012-0207-2
Keywords
Bayesian methodology; Geostatistical modeling; Hedonic models; Spatial correlation
Categories
Funding
- NSF [HRD-0932339]
- Division Of Human Resource Development
- Direct For Education and Human Resources [0932339] Funding Source: National Science Foundation
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A point source, non-stationary covariance structure model is proposed, having only one additional parameter over a standard, stationary covariance structure, spatial model. Additionally, the proposed model is demonstrated to fit better than the three extra parameter, point source, non-stationary spatial model proposed by Ecker and De Oliveira (Commun Stat Theory Methods 37:2066-2078, 2008). The proposed model is fit from a Bayesian perspective and illustrated using a house sales dataset from Cedar Falls, Iowa.
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