Results 111 to 120 of about 1,170 (203)
Modeling and simulation of count data
, 2014 Count data, or number of events per time interval, are discrete data arising from repeated time to event observations. Their mean count, or piecewise constant event rate, can be evaluated by discrete probability distributions from the Poisson model ...
Plan, Elodie L,, Plan, Elodie L
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Stationary Underdispersed INAR(1) Models based on the Backward Approach
Revstat Statistical JournalMost of the stationary first-order autoregressive integer-valued (INAR(1)) models in the literature have been developed using the idea of binomial thinning. Two approaches have been adopted to establish the distributional properties of a stationary INAR(
Emad-Eldin A. A. Aly, Nadjib Bouzar
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, 2015 Results of HMD (Homogeneity in Multivariate Dispersions) tests comparing live and dead diatom assemblages in total (littoral+open waters), littoral and open waters datasets showing: ratio (premortem variation/total LD variation), the estimates of ...
Gabriela S. Hassan (3311157)
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CONWAY-MAXWELL POISSON REGRESSION MODELING OF INFANT MORTALITY IN SOUTH SULAWESI
Media StatistikaOverdispersion is a common problem in count data that can lead to inaccurate parameter estimates in Poisson regression models. Quasi-Poisson and negative binomial regressions are often used to address overdispersion but have limitations, especially with ...
Oktaviana Oktaviana +4 more
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AIP AdvancesCount data often exhibit dispersion patterns that the standard Poisson regression model struggles to handle, particularly in cases of overdispersion or underdispersion. The generalized Poisson regression model (GPRM) provides a more flexible alternative,
Ali T. Hammad +3 more
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Bivariate Random Coefficient Integer-Valued Autoregressive Model Based on a ρ-Thinning Operator
AxiomsWhile overdispersion is a common phenomenon in univariate count time series data, its exploration within bivariate contexts remains limited. To fill this gap, we propose a bivariate integer-valued autoregressive model.
Chang Liu, Dehui Wang
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Between here and there: Immigrant fertility patterns in Germany [PDF]
This paper focuses on the role of the home country’s birth rates in shaping immigrant fertility. We use the German Socio-Economic Panel (SOEP) to study completed fertility of first generation immigrants who arrived from different countries and at ...
Kamila Cygan-Rehm
core
, 2018 RNA sequencing (RNA-seq) has become a widely used technology for analyzing global gene-expression changes during certain biological processes. It is generally acknowledged that RNA-seq data displays equidispersion and overdispersion characteristics ...
Wenqiang Tang (6032798) +2 more
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, 2018 RNA sequencing (RNA-seq) has become a widely used technology for analyzing global gene-expression changes during certain biological processes. It is generally acknowledged that RNA-seq data displays equidispersion and overdispersion characteristics ...
Wenqiang Tang (6032798) +2 more
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Journal of Radiation Research and Applied SciencesThe generalized Poisson regression model (GPORM) offers a flexible framework for addressing many count data challenges, notably over- and underdispersion.
Fatimah A. Almulhim +4 more
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