ON ANALYZING OVERDISPERSED COUNT DATA: MULTILEVEL MODELING APPROACH
نویسندگان
چکیده
منابع مشابه
An extended random-effects approach to modeling repeated, overdispersed count data.
Non-Gaussian outcomes are often modeled using members of the so-called exponential family. The Poisson model for count data falls within this tradition. The family in general, and the Poisson model in particular, are at the same time convenient since mathematically elegant, but in need of extension since often somewhat restrictive. Two of the main rationales for existing extensions are (1) the ...
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Overdispersed count data are modelled with likelihood and non-likelihood approaches. Likelihood approaches include the Poisson mixtures with three distributions, the gamma, the lognormal, and the inverse Gaussian distributions. Non-likelihood approaches include the robust sandwich estimator and quasilikelihood. In this simulation study, overdispersed count data were simulated under the Poisson ...
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ing ecological complexity by identifying key biological processes, and the factors that affect them, is important when solving applied ecological problems (e.g. Hilborn & Mangel 1997; McPherson & DeStefano 2003; Clark 2007), as the effectiveness of a management action is likely to depend upon the processes that dominate a system (Walters 1986). Hence, it is important that ecologists should be a...
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ژورنال
عنوان ژورنال: Journal of Bangladesh Agricultural University
سال: 2020
ISSN: 1810-3030
DOI: 10.5455/jbau.82599