Extending ordinal regression with a latent zero-augmented beta distribution

Irvine KM, Rodhouse TJ, Keren IN. 2016. Extending ordinal regression with a latent zero-augmented beta distribution. Journal of Agricultural, Biological, and Environmental Statistics. In press

Details a new statistical modeling approach for vegetation monitoring when plant cover is binned in to ordinal categories. The method will work for any ordinal data structure in which the lowest category is a true zero (e.g., absence of a species) and when there is a meaningful latent continuous variable from which the ordinal binning is constructed.

Type
Journal Article
Authors
Irvine, Kathryn; Rodhouse, Thomas; Keren, Ilai
Units
JODA , UCBN
Keywords
Beta regression; grouped continuous; hurdle model; midpoint regression; non-proportional odds; plant abundance; proportional odds model; monitoring; vegetation; invasive weeds; sagebrush steppe
Subjects
Ecological Framework: Biological Integrity | Invasive Species | Invasive/Exotic plants , Ecological Framework: Biological Integrity | Focal Species or Communities | Shrubland Communities , Ecological Framework: Biological Integrity | Focal Species or Communities | Vegetation Complex , Ecological Framework: Landscapes | Fire and Fuel Dynamics | Fire and Fuel Dynamics

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