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Poisson Kriging

Author

Listed:
  • Victor De Oliveira

    (UTSA)

Abstract

This work revisits a simple model for geostatistical count data and make explicit the assumptions under which the model is constructed. We review the parameter estimators and predictors for a latent that appear in the literature, and propose new estimators and predictors. Finally, we plan to carry a detailed simulation experiment to investigate and compare the statistical properties of the different parameter estimators and predictors.

Suggested Citation

  • Victor De Oliveira, 2013. "Poisson Kriging," Working Papers 0166mss, College of Business, University of Texas at San Antonio.
    • Handle: RePEc:tsa:wpaper:0166mss
    as

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    File URL: http://interim.business.utsa.edu/wps/mss/0006MSS-496-2016.pdf
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    References listed on IDEAS

    as
    1. Pace, R. Kelley & Barry, Ronald & Gilley, Otis W. & Sirmans, C. F., 2000. "A method for spatial-temporal forecasting with an application to real estate prices," International Journal of Forecasting, Elsevier, vol. 16(2), pages 229-246.
    2. Hans R. Isakson & Mark D. Ecker, 2008. "An analysis of the impact of swine CAFOs on the value of nearby houses," Agricultural Economics, International Association of Agricultural Economists, vol. 39(3), pages 365-372, November.
    3. Palacios, M. Blanca & Steel, Mark F.J., 2006. "Non-Gaussian Bayesian Geostatistical Modeling," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 604-618, June.
    4. Basu, Sabyasachi & Thibodeau, Thomas G, 1998. "Analysis of Spatial Autocorrelation in House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 61-85, July.
    5. Dubin, Robin A, 1998. "Predicting House Prices Using Multiple Listings Data," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 35-59, July.
    6. Hughes-Oliver, Jacqueline M. & Gonzalez-Farias, Graciela & Lu, Jye-Chyi & Chen, Di, 1998. "Parametric nonstationary correlation models," Statistics & Probability Letters, Elsevier, vol. 40(3), pages 267-278, October.
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    More about this item

    Keywords

    Geostatistics; Nugget e_ect; Ordinary kriging; Semivariogram; Spatial count data;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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