The new Poisson mixed weighted Lindley distribution with applications to insurance claims data [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2020 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
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Statistical models for over-dispersion in the frequency of peaks over threshold data for a flow series. [PDF]
, 2010 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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Estimating overdispersion in sparse multinomial data [PDF]
Biometrics, 2019 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
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The Overlooked Potential of Generalized Linear Models in Astronomy-III: Bayesian Negative Binomial Regression and Globular Cluster Populations [PDF]
, 2015 In this paper, the third in a series illustrating the power of generalized linear models (GLMs) for the astronomical community, we elucidate the potential of the class of GLMs which handles count data.
Buelens, B. +7 more
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Understanding the impact of correlation within pair‐bonds on Cormack–Jolly–Seber models
Ecology and Evolution, 2021 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
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Disentangling the effects of geographic and ecological isolation on genetic differentiation [PDF]
, 2013 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
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Endemicity of chytridiomycosis features pathogen overdispersion [PDF]
Journal of Animal Ecology, 2016 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
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E-Jurnal Matematika, 2013 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
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Statistical model for overdispersed count outcome with many zeros: an approach for direct marginal inference [PDF]
, 2015 Marginalized models are in great demand by most researchers in the life sciences particularly in clinical trials, epidemiology, health-economics, surveys and many others since they allow generalization of inference to the entire population under study ...
Doku-Amponsah, Kwabena, Iddi, Samuel
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Frontiers in Ecology and Evolution, 2023 IntroductionSpecies distribution in alpine areas is constrained by multiple abiotic and biotic stressors. This leads to discrepant assembly patterns between different locations and study objects as opposite niche-based processes—limiting similarity and ...
Wen-Yu Song +9 more
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