Traditional occupancy–abundance models are inadequate for zero-inflated ecological count data
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DOI: 10.1016/j.ecolmodel.2009.03.024
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References listed on IDEAS
- James O Lloyd-Smith, 2007. "Maximum Likelihood Estimation of the Negative Binomial Dispersion Parameter for Highly Overdispersed Data, with Applications to Infectious Diseases," PLOS ONE, Public Library of Science, vol. 2(2), pages 1-8, February.
- Piñeiro, Gervasio & Perelman, Susana & Guerschman, Juan P. & Paruelo, José M., 2008. "How to evaluate models: Observed vs. predicted or predicted vs. observed?," Ecological Modelling, Elsevier, vol. 216(3), pages 316-322.
- Daniel B. Hall, 2000. "Zero-Inflated Poisson and Binomial Regression with Random Effects: A Case Study," Biometrics, The International Biometric Society, vol. 56(4), pages 1030-1039, December.
- Krishna Saha & Sudhir Paul, 2005. "Bias-Corrected Maximum Likelihood Estimator of the Negative Binomial Dispersion Parameter," Biometrics, The International Biometric Society, vol. 61(1), pages 179-185, March.
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Cited by:
- Lecomte, J.B. & Benoît, H.P. & Etienne, M.P. & Bel, L. & Parent, E., 2013. "Modeling the habitat associations and spatial distribution of benthic macroinvertebrates: A hierarchical Bayesian model for zero-inflated biomass data," Ecological Modelling, Elsevier, vol. 265(C), pages 74-84.
- Mailu, Stephen & Kuloba, Bernard & Ruto, Eric & Nyangena, Wilfred, 2010. "Effect of cropping policy on landowner reactions towards wildlife: a case of Naivasha area, Kenya," MPRA Paper 21308, University Library of Munich, Germany.
- Mailu, Stephen & Lukibisi, Barasa & Waithaka, Michael, 2011. "Application of various count models: Sahiwal demand from Naivasha," MPRA Paper 32074, University Library of Munich, Germany, revised 06 Jul 2011.
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Keywords
Model selection; Parsimony; Rare species; Repeated measures;All these keywords.
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