Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
A hierarchical zero‐inflated Poisson regression model for stream fish distribution and abundance
Ecologists are frequently confronted with the challenge of accurately modelling species abundance. However, this task requires one to deal with both presence/absence as well as abundance. Traditional Poisson regression models are not adequate when attempting to deal with both issues simultaneously. Zero‐inflated regression models have been proposed to deal with this problem with much success. We extend these models to incorporate both a multilevel hierarchical structure and spatial correlation. The model is illustrated using a dataset concerning the Hypseleotris galii (Fire‐tailed Gudgeon), a native species to eastern Australia. Copyright © 2011 John Wiley & Sons, Ltd.
A hierarchical zero‐inflated Poisson regression model for stream fish distribution and abundance
Ecologists are frequently confronted with the challenge of accurately modelling species abundance. However, this task requires one to deal with both presence/absence as well as abundance. Traditional Poisson regression models are not adequate when attempting to deal with both issues simultaneously. Zero‐inflated regression models have been proposed to deal with this problem with much success. We extend these models to incorporate both a multilevel hierarchical structure and spatial correlation. The model is illustrated using a dataset concerning the Hypseleotris galii (Fire‐tailed Gudgeon), a native species to eastern Australia. Copyright © 2011 John Wiley & Sons, Ltd.
A hierarchical zero‐inflated Poisson regression model for stream fish distribution and abundance
Boone, E.L. (Autor:in) / Stewart‐Koster, B. (Autor:in) / Kennard, M.J. (Autor:in)
Environmetrics ; 23 ; 207-218
01.05.2012
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Semiparametric zero-inflated Poisson models with application to animal abundance studies
| Online Contents | 2007