Model selection with overdispersed distance sampling data
نویسندگان
چکیده
منابع مشابه
Variable selection for zero-inflated and overdispersed data with application to health care demand in Germany.
In health services and outcome research, count outcomes are frequently encountered and often have a large proportion of zeros. The zero-inflated negative binomial (ZINB) regression model has important applications for this type of data. With many possible candidate risk factors, this paper proposes new variable selection methods for the ZINB model. We consider maximum likelihood function plus a...
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ژورنال
عنوان ژورنال: Methods in Ecology and Evolution
سال: 2018
ISSN: 2041-210X,2041-210X
DOI: 10.1111/2041-210x.13082