Results 71 to 80 of about 26,263 (305)
Consistency and asymptotic normality of the maximum likelihood estimator in a zero-inflated generalized Poisson regression [PDF]
, 2005 Poisson regression models for count variables have been utilized in many applications. However, in many problems overdispersion and zero-inflation occur.
Min, Aleksey, Czado, Claudia
core +1 more source
Journal of Experimental Zoology Part A: Ecological and Integrative Physiology, EarlyView.ABSTRACT Amphibians are among the most threatened taxonomic groups, with many species experiencing rapid declines that have resulted in small, isolated populations vulnerable to inbreeding depression and reduced fertility. One major outcome of inbreeding is lowered fecundity, often linked to morphological changes in gametes.
Nadine Nolan +6 more
wiley +1 more source
International Journal of Climatology, EarlyView.Heatwaves have intensified under a warming climate, producing substantial environmental and societal impacts. This study characterizes heatwave regimes in two contrasting regions of Mexico using a percentile‐based threshold and a Poisson distribution framework.
Jorge Cortés‐Ramos +6 more
wiley +1 more source
Models for Overdispersed Data in Entomology
, 2014 Entomological data are often overdispersed, characterised by a larger variance than assumed by simple standard models. It is important to model overdispersion properly in order to avoid incorrect and misleading inferences. Outcomes of interest are often in the form of counts or proportions and we present extended models that incorporate overdispersion,
Demétrio, Clarice G. B. +2 more
openaire +1 more source
, 2022 Non-constant residuals, also known as heteroskedastic errors, are a common challenge in statistical modelling. One common method for coping with heteroskedastic errors for non-negative data is through the use of a Gamma likelihood function, often with ...
Semenov, M. A. +4 more
core
Post‐surgical infections: Prevalence associated with various periodontal surgical procedures
Journal of Periodontology, EarlyView.Abstract Background This retrospective study aimed to assess the prevalence of postoperative infections after periodontal and implant surgical therapy and examined the treatment variables that may affect infection prevalence. Methods A retrospective review on patients who were surgically treated in the graduate periodontics clinic at the University of ...
Camille N. Banson +4 more
wiley +1 more source
Comparison Between Two Multinomial Overdispersion Models Through Simulation
, 2020 A key assumption when using the multinomial distribution is that the observations are independent. In many practical situations, the observations could be correlated or clustered and the probabilities within each cluster might vary, which may lead to ...
Shabuz, Zillur R., Afroz, Farzana
core +1 more source
A Comparison of the Robust Zero-Inflated and Hurdle Models with an Application to Maternal Mortality
Mathematical and Computational ApplicationsThis study evaluates the performance of count regression models in the presence of zero inflation, outliers, and overdispersion using both simulated and real-world maternal mortality dataset.
Phelo Pitsha +2 more
doaj +1 more source
Media Statistika, 2012 Poisson regression is one of model that is often used to model the relationship between response variables in the form of discrete data with a set of predictor variables in the form of continuous, discrete, category, or mixture data.
Muhammad Taufan +2 more
doaj +1 more source
New constraints on the postglacial evolution of Lago Maggiore, Northern Italy
Journal of Quaternary Science, EarlyView.ABSTRACT Lago Maggiore is situated in an overdeepened valley reach at the southern margin of the European Alps, and its thick sediment infill allows the reconstruction of the postglacial valley and lake evolution. We study here the sedimentary succession in the lower Ossola Valley, which is infilled by ~500 m of deposits. In a marginal position, a core
Lukas Gegg +9 more
wiley +1 more source