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The k-ZIG: Flexible Modeling for Zero-Inflated Counts

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  • Souparno Ghosh
  • Alan E. Gelfand
  • Kai Zhu
  • James S. Clark

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Suggested Citation

  • Souparno Ghosh & Alan E. Gelfand & Kai Zhu & James S. Clark, 2012. "The k-ZIG: Flexible Modeling for Zero-Inflated Counts," Biometrics, The International Biometric Society, vol. 68(3), pages 878-885, September.
    • Handle: RePEc:bla:biomet:v:68:y:2012:i:3:p:878-885
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2011.01729.x
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    References listed on IDEAS

    as
    1. Maria Melkersson & Dan-Olof Rooth, 2000. "Modeling female fertility using inflated count data models," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(2), pages 189-203.
    2. A. Colin Cameron & Pravin K. Trivedi, 1986. "Econometric models based on count data. Comparisons and applications of some estimators and tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
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    Cited by:

    1. Johannes Landsheer, 2014. "The co-occurrence of self-observed norm-conforming behavior, reduction of zero observations and remaining measurement quality," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2647-2656, September.
    2. Liu, Juxin & Ma, Yanyuan & Johnstone, Jill, 2020. "A goodness-of-fit test for zero-inflated Poisson mixed effects models in tree abundance studies," Computational Statistics & Data Analysis, Elsevier, vol. 144(C).
    3. Souparno Ghosh & Kai Zhu & Alan E. Gelfand & James S. Clark, 2016. "Joint Modeling of Climate Niches for Adult and Juvenile Trees," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 21(1), pages 111-130, March.

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