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Estimating the Intensity of a Spatial Point Process from Locations Coarsened by Incomplete Geocoding

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  • Dale L. Zimmerman

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  • Dale L. Zimmerman, 2008. "Estimating the Intensity of a Spatial Point Process from Locations Coarsened by Incomplete Geocoding," Biometrics, The International Biometric Society, vol. 64(1), pages 262-270, March.
    • Handle: RePEc:bla:biomet:v:64:y:2008:i:1:p:262-270
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2007.00870.x
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    References listed on IDEAS

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    1. Peter J. Diggle, 1990. "A Point Process Modelling Approach to Raised Incidence of a Rare Phenomenon in the Vicinity of a Prespecified Point," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 153(3), pages 349-362, May.
    2. Peter Diggle, 1985. "A Kernel Method for Smoothing Point Process Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 34(2), pages 138-147, June.
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    Cited by:

    1. Maria Michela Dickson & Giuseppe Espa & Diego Giuliani, 2016. "Incomplete geocoding and spatial sampling: the effects of locational errors on population total estimation," DEM Working Papers 2016/04, Department of Economics and Management.
    2. Frank C Curriero & Martin Kulldorff & Francis P Boscoe & Ann C Klassen, 2010. "Using Imputation to Provide Location Information for Nongeocoded Addresses," PLOS ONE, Public Library of Science, vol. 5(2), pages 1-10, February.
    3. Flavio Santi & Maria Michela Dickson & Diego Giuliani & Giuseppe Arbia & Giuseppe Espa, 2021. "Reduced-bias estimation of spatial autoregressive models with incompletely geocoded data," Computational Statistics, Springer, vol. 36(4), pages 2563-2590, December.

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