Spatial modeling of data with excessive zeros applied to reindeer pellet‐group counts

We analyze a real data set pertaining to reindeer fecal pellet‐group counts obtained from a survey conducted in a forest area in northern Sweden. In the data set, over 70% of counts are zeros, and there is high spatial correlation. We use conditionally autoregressive random effects for modeling of s...

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Detalles Bibliográficos
Autores principales: Lee, Youngjo, Alam, Md. Moudud, Noh, Maengseok, Rönnegård, Lars, Skarin, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5513232/
https://www.ncbi.nlm.nih.gov/pubmed/28725382
http://dx.doi.org/10.1002/ece3.2449

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5513232/
https://www.ncbi.nlm.nih.gov/pubmed/28725382
http://dx.doi.org/10.1002/ece3.2449

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