Model based grouping of species across environmental gradients
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DOI: 10.1016/j.ecolmodel.2010.11.030
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References listed on IDEAS
- Michel Wedel & Wayne DeSarbo, 1995. "A mixture likelihood approach for generalized linear models," Journal of Classification, Springer;The Classification Society, vol. 12(1), pages 21-55, March.
- Leisch, Friedrich, 2004. "FlexMix: A General Framework for Finite Mixture Models and Latent Class Regression in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 11(i08).
- Raftery, Adrian E. & Dean, Nema, 2006. "Variable Selection for Model-Based Clustering," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 168-178, March.
- Khalili, Abbas & Chen, Jiahua, 2007. "Variable Selection in Finite Mixture of Regression Models," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 1025-1038, September.
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Cited by:
- Scott D. Foster & Nicole A. Hill & Mitchell Lyons, 2017. "Ecological grouping of survey sites when sampling artefacts are present," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(5), pages 1031-1047, November.
- Pledger, Shirley & Arnold, Richard, 2014. "Multivariate methods using mixtures: Correspondence analysis, scaling and pattern-detection," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 241-261.
- Wen‐Han Hwang & Richard Huggins & Jakub Stoklosa, 2022. "A model for analyzing clustered occurrence data," Biometrics, The International Biometric Society, vol. 78(2), pages 598-611, June.
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More about this item
Keywords
Species archetype; Finite mixture model; Grouping; Biodiversity; Prediction;All these keywords.
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