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An Estimating Function Approach to Inference for Inhomogeneous Neyman–Scott Processes

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  • Rasmus Plenge Waagepetersen

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  • Rasmus Plenge Waagepetersen, 2007. "An Estimating Function Approach to Inference for Inhomogeneous Neyman–Scott Processes," Biometrics, The International Biometric Society, vol. 63(1), pages 252-258, March.
    • Handle: RePEc:bla:biomet:v:63:y:2007:i:1:p:252-258
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2006.00667.x
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    References listed on IDEAS

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    1. D. Stoyan, 1992. "Statistical estimation of model parameters of planar neyman-scott cluster processes," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 39(1), pages 67-74, December.
    2. Guan, Yongtao, 2006. "A Composite Likelihood Approach in Fitting Spatial Point Process Models," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1502-1512, December.
    3. A. J. Baddeley & J. Møller & R. Waagepetersen, 2000. "Non‐ and semi‐parametric estimation of interaction in inhomogeneous point patterns," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 54(3), pages 329-350, November.
    4. Baddeley, Adrian & Turner, Rolf, 2005. "spatstat: An R Package for Analyzing Spatial Point Patterns," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 12(i06).
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