Modeling road accident fatalities with underdispersion and zero-inflated counts. [PDF]
PLoS ONE, 2022 In 2013, Thailand was ranked second in the world in road accident fatalities (RAFs), with 36.2 per 100,000 people. During the Songkran festival, which takes place during the traditional Thai New Year in April, the number of road traffic accidents (RTAs ...
Teerawat Simmachan +3 more
doaj +4 more sources
Correction: Modeling road accident fatalities with underdispersion and zero-inflated counts. [PDF]
PLoS ONE[This corrects the article DOI: 10.1371/journal.pone.0269022.].
Teerawat Simmachan +3 more
doaj +3 more sources
Some mechanisms leading to underdispersion [PDF]
Scandinavian Journal of Statistics, 2023 In 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 and ...
Puig i Casado, Pere|| +2 more
core +4 more sources
A Modified Negative Binomial Distribution: Properties, Overdispersion and Underdispersion
Journal of Statistical Theory and Applications, 2019 In this paper, we introduce a new and useful discrete distribution (modified negative binomial distribution) and its statistical and probabilistic properties are discussed.
Ghobad Barmalzan +2 more
exaly +4 more sources
An Over and Underdispersed Biparametric Extension of the Waring Distribution [PDF]
Mathematics, 2021 A new discrete distribution for count data called extended biparametric Waring (EBW) distribution is developed. Its name is related to the fact that, in a specific configuration of its parameters, it can be seen as a biparametric version of the ...
Valentina Cueva-López +2 more
doaj +2 more sources
Climatic refugia and reduced extinction correlate with underdispersion in mammals and birds in Africa. [PDF]
Ecol Evol, 2022 AbstractMacroevolutionary patterns, often inferred from metrics of community relatedness, are often used to ascertain major evolutionary processes shaping communities. These patterns have been shown to be informative of biogeographic barriers, of habitat suitability and invasibility (especially with regard to environmental filtering), and of regions ...
Cooper JC +3 more
europepmc +6 more sources
Recent advancements in integer-valued autoregressive models for count data time series: A comprehensive review [PDF]
MethodsXCount data time series, characterized by non-negative integer values, frequently arise across diverse domains, including finance, public health, economics, epidemiology, and environmental sciences.
Vinitha Serrao +2 more
doaj +2 more sources
Some developments on seasonal INAR processes with application to influenza data [PDF]
Scientific Reports, 2023 Influenza epidemic data are seasonal in nature. Zero-inflation, zero-deflation, overdispersion, and underdispersion are frequently seen in such number of cases of disease (count) data.
Fatimah E. Almuhayfith +4 more
doaj +2 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