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A note on a non-stationary point source spatial model

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Abstract

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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Authors and Affiliations

  1. Department of Mathematics, University of Northern Iowa, Cedar Falls, IA, 50614-0506, USA

    Mark D. Ecker

  2. College of Business, University of Texas at San Antonio, San Antonio, TX, 78249, USA

    Victor De Oliveira

  3. Economics Department, University of Northern Iowa, Cedar Falls, IA, 50614-0129, USA

    Hans Isakson

Authors
  1. Mark D. Ecker
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  2. Victor De Oliveira
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  3. Hans Isakson
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Corresponding author

Correspondence to Mark D. Ecker.

Additional information

Victor De Oliveira was partly supported by NSF grant HRD-0932339.

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Ecker, M.D., De Oliveira, V. & Isakson, H. A note on a non-stationary point source spatial model. Environ Ecol Stat 20, 59–67 (2013). https://doi.org/10.1007/s10651-012-0207-2

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  • DOI: https://doi.org/10.1007/s10651-012-0207-2

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