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Statistical reconstruction of random point patterns

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  • Tscheschel, A.
  • Stoyan, D.

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  • Tscheschel, A. & Stoyan, D., 2006. "Statistical reconstruction of random point patterns," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 859-871, November.
    • Handle: RePEc:eee:csdana:v:51:y:2006:i:2:p:859-871
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    References listed on IDEAS

    as
    1. Winker, Peter & Gilli, Manfred, 2004. "Applications of optimization heuristics to estimation and modelling problems," Computational Statistics & Data Analysis, Elsevier, vol. 47(2), pages 211-223, September.
    2. K. Schladitz & A. J. Baddeley, 2000. "A Third Order Point Process Characteristic," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 27(4), pages 657-671, December.
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    Cited by:

    1. Kateřina Koňasová & Jiří Dvořák, 2021. "Stochastic Reconstruction for Inhomogeneous Point Patterns," Methodology and Computing in Applied Probability, Springer, vol. 23(2), pages 527-547, June.
    2. Tscheschel, André & Chiu, Sung Nok, 2008. "Quasi-plus sampling edge correction for spatial point patterns," Computational Statistics & Data Analysis, Elsevier, vol. 52(12), pages 5287-5295, August.
    3. Grabarnik, Pavel & Särkkä, Aila, 2009. "Modelling the spatial structure of forest stands by multivariate point processes with hierarchical interactions," Ecological Modelling, Elsevier, vol. 220(9), pages 1232-1240.
    4. Ghorbani, Mohammad & Vafaei, Nafiseh & Dvořák, Jiří & Myllymäki, Mari, 2021. "Testing the first-order separability hypothesis for spatio-temporal point patterns," Computational Statistics & Data Analysis, Elsevier, vol. 161(C).
    5. F. Seitl & L. Petrich & J. Staněk & C. E. Krill & V. Schmidt & V. Beneš, 2021. "Exploration of Gibbs-Laguerre Tessellations for Three-Dimensional Stochastic Modeling," Methodology and Computing in Applied Probability, Springer, vol. 23(2), pages 669-693, June.

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