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Joint analysis of multivariate spatial count and zero‐heavy count outcomes using common spatial factor models

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  • C.X. Feng
  • C.B. Dean

Abstract

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  • C.X. Feng & C.B. Dean, 2012. "Joint analysis of multivariate spatial count and zero‐heavy count outcomes using common spatial factor models," Environmetrics, John Wiley & Sons, Ltd., vol. 23(6), pages 493-508, September.
  • Handle: RePEc:wly:envmet:v:23:y:2012:i:6:p:493-508
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    Cited by:

    1. Cindy Xin Feng, 2021. "A comparison of zero-inflated and hurdle models for modeling zero-inflated count data," Journal of Statistical Distributions and Applications, Springer, vol. 8(1), pages 1-19, December.
    2. Dexen D. Z. Xi & Charmaine B. Dean & Stephen W. Taylor, 2021. "Modeling the duration and size of wildfires using joint mixture models," Environmetrics, John Wiley & Sons, Ltd., vol. 32(6), September.
    3. Cindy Xin Feng, 2015. "Bayesian joint modeling of correlated counts data with application to adverse birth outcomes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(6), pages 1206-1222, June.
    4. Marco Minozzo & Luca Bagnato, 2021. "A unified skew‐normal geostatistical factor model," Environmetrics, John Wiley & Sons, Ltd., vol. 32(4), June.
    5. Dexen DZ. Xi & C.B. Dean & Stephen W. Taylor, 2020. "Modeling the duration and size of extended attack wildfires as dependent outcomes," Environmetrics, John Wiley & Sons, Ltd., vol. 31(5), August.

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