Poisson regression is a nonlinear regression that is often used to model count response variable and categorical, interval, or count regressor. This regression assumes equidispersion, i.e., the variance equals the mean.
NI MADE RARA KESWARI +2 more
doaj +1 more source
The new Poisson mixed weighted Lindley distribution with applications to insurance claims data [PDF]
Mixed Poisson distributions have been applied for overdispersed count data analysis. In this paper, an alternative mixed Poisson distribution is proposed.
Yupapin Atikankul +2 more
doaj +1 more source
Estimating Abundance from Counts in Large Data Sets of Irregularly-Spaced Plots using Spatial Basis Functions [PDF]
Monitoring plant and animal populations is an important goal for both academic research and management of natural resources. Successful management of populations often depends on obtaining estimates of their mean or total over a region. The basic problem
Hoef, Jay M. Ver, Jansen, John K.
core +1 more source
The role of edaphic environment and climate in structuring phylogenetic pattern in seasonally dry tropical plant communities [PDF]
This study was made possible through the kind financial support of the São Paulo Research Foundation - http://fapesp.br/en (Fundação de Amparo à Pesquisa do Estado de São Paulo - Fapesp 2013/15280-9).Seasonally dry tropical plant formations (SDTF) are ...
Araújo, Francisca Soares de +5 more
core +5 more sources
Estimating overdispersion in sparse multinomial data [PDF]
AbstractMultinomial data arise in many areas of the life sciences, such as mark‐recapture studies and phylogenetics, and will often by overdispersed, with the variance being higher than predicted by a multinomial model. The quasi‐likelihood approach to modeling this overdispersion involves the assumption that the variance is proportional to that ...
Farzana Afroz +2 more
openaire +3 more sources
Understanding the impact of correlation within pair‐bonds on Cormack–Jolly–Seber models
The Cormack–Jolly–Seber (CJS) model and its extensions have been widely applied to the study of animal survival rates in open populations. The model assumes that individuals within the population of interest have independent fates. It is, however, highly
Alexandru M. Draghici +2 more
doaj +1 more source
Endemicity of chytridiomycosis features pathogen overdispersion [PDF]
SummaryPathogens can be critical drivers of the abundance and distribution of wild animal populations. The presence of an overdispersed pathogen load distribution between hosts (where few hosts harbour heavy parasite burdens and light infections are common) can have an important stabilizing effect on host–pathogen dynamics where infection intensity ...
Laura F. Grogan +7 more
openaire +3 more sources
Poisson regression can be used to analyze count data, with assuming equidispersion. However, in the case of overdispersion often occur in the count data.
DESAK PUTU PRAMI MEITRIANI +2 more
doaj +1 more source
Disentangling the effects of geographic and ecological isolation on genetic differentiation [PDF]
Populations can be genetically isolated both by geographic distance and by differences in their ecology or environment that decrease the rate of successful migration.
Bradburd, Gideon +2 more
core +1 more source
Statistical models for over-dispersion in the frequency of peaks over threshold data for a flow series. [PDF]
In a peaks over threshold analysis of a series of river flows, a sufficiently high threshold is used to extract the peaks of independent flood events. This paper reviews existing, and proposes new, statistical models for both the annual counts of such ...
Breslow +34 more
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