Some mechanisms leading to underdispersion: Old and new proposals [PDF]
Scandinavian Journal of Statistics, 2023 AbstractIn statistical modeling, it is important to know the mechanisms that cause underdispersion. Several mechanisms that lead to underdispersed count distributions are revisited from new perspectives, and new ones are introduced. These include procedures based on the number of arrivals in arrival processes, such as renewal and pure birth processes ...
Pedro Puig +2 more
core +4 more sources
good: An R package for modelling count data [PDF]
Methods in Ecology and EvolutionOrganisms‐related data often appear as counts. The Poisson distribution is the most popular choice for modelling count data, but this distribution assumes equidispersion, which is usually not satisfied in real‐world data.
David Agis +4 more
doaj +2 more sources
Modeling Underdispersed Count Data with Generalized Poisson Regression [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2012 We present motivation and new Stata commands for modeling count data. While the focus of this article is on modeling data with underdispersion, the new command for fitting generalized Poisson regression models is also suitable as an alternative to negative binomial regression for overdispersed data.
Tammy Harris, Zhao Yang, James W. Hardin
core +4 more sources
DREAMSeq: An Improved Method for Analyzing Differentially Expressed Genes in RNA-seq Data [PDF]
Frontiers in Genetics, 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 ...
Zhihua Gao +3 more
doaj +2 more sources
Age-Stratified Association Between CPI Screening Categories and Caries Experience in the Permanent Dentition of Children and Adolescents from Southwest Romania: A Multicenter Cross-Sectional Clinical Study [PDF]
ChildrenBackground/Objectives: Dental caries and gingival inflammation share several biofilm-related determinants. This study evaluated the association between Community Periodontal Index (CPI) screening categories and permanent-dentition caries experience in a ...
Narcis Mihaiță Bugălă +9 more
doaj +2 more sources
On Underdispersed Count Kernels for Smoothing Probability Mass Functions
Stats, 2023 Only a few count smoothers are available for the widespread use of discrete associated kernel estimators, and their constructions lack systematic approaches. This paper proposes the mean dispersion technique for building count kernels.
Célestin C. Kokonendji +3 more
doaj +2 more sources
A bias-reduced estimator for generalized Poisson regression with application to carbon dioxide emission in Canada [PDF]
Scientific ReportsThe generalized Poisson regression model (GPRM) provides a flexible framework for modeling count data, especially those exhibiting over- or underdispersion.
Fatimah M. Alghamdi +6 more
doaj +2 more sources
Phylogenetic and functional underdispersion in Neotropical phyllostomid bat communities
Biotropica, 2017 AbstractHabitat conversion creates a mosaic of land cover types, which affect the spatial distribution, diversity, and abundance of resources. We used abundance, functional, and phylogenetic information to determine if Neotropical bat communities exhibited phylogenetic or functional overdispersion or underdispersion in response to habitat conversion ...
Steven J. Presley +5 more
openaire +4 more sources
Generalised count distributions for modelling parity [PDF]
Demographic Research, 2017 Background: Parametric count distributions customarily used in demography - the Poisson and negative binomial models - do not offer satisfactory descriptions of empirical distributions of completed cohort parity.
Bilal Barakat
doaj +2 more sources
A Comparison of Two Test Statistics for Poisson Overdispersion/Underdispersion
Applied Mathematics, 2012 Within the family of zero-inflated Poisson distributions, the data has Poisson distribution if any only if the mean equals the variance. In this paper we compare two closely related test statistics constructed based on this idea. Our results show that although these two tests are asymptotically equivalent under the null hypothesis and are equally ...
Changyong Feng
exaly +3 more sources