Results 31 to 40 of about 824 (147)

Generalised count distributions for modelling parity

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   +1 more source

Intercontinental trends in functional and phylogenetic structure of stream fish assemblages

Ecology and Evolution, 2019
Understanding of community assembly has been improved by phylogenetic and trait‐based approaches, yet there is little consensus regarding the relative importance of alternative mechanisms and few studies have been done at large geographic and ...
Luke M. Bower, Kirk O. Winemiller
doaj   +1 more source

Automated detection of over- and under-dispersion in baseline tables in randomised controlled trials [version 2; peer review: 2 approved]

F1000Research, 2023
Background: Papers describing the results of a randomised trial should include a baseline table that compares the characteristics of randomised groups.
Adrian Barnett
doaj   +1 more source

good: An R package for modelling count data

Methods in Ecology and Evolution
Organisms‐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, Jordi Tur, David Moriña, Pedro Puig, Amanda Fernández‐Fontelo   +4 more
doaj   +1 more source

The In Vitro Transgenic Rodent Assay in Primary MutaMouse Hepatocytes Compared to the Mammalian Cell Gene Mutation Assay Using the HPRT Gene

Environmental and Molecular Mutagenesis, EarlyView.
ABSTRACT Gene mutations can be detected in mammalian cells in vitro using indicator genes such as the hypoxanthine‐guanine‐phosphoribosyltransferase (HPRT) gene. These assays have been adopted as OECD test guidelines (TG, e.g., OECD TG no. 476) and are used for regulatory purposes.
Alina Göpfert, Kylee Kendra Marie Ronnenberg, Claudia Ruelker, Silke Spang, Naveed Honarvar, Robert Landsiedel   +5 more
wiley   +1 more source

Robustness of serial clustering of extratropical cyclones to the choice of tracking method

Tellus: Series A, Dynamic Meteorology and Oceanography, 2016
Cyclone clusters are a frequent synoptic feature in the Euro-Atlantic area. Recent studies have shown that serial clustering of cyclones generally occurs on both flanks and downstream regions of the North Atlantic storm track, while cyclones tend to ...
Joaquim G. Pinto, Sven Ulbrich, Theodoros Economou, David B. Stephenson, Melanie K. Karremann, Len C. Shaffrey   +5 more
doaj   +1 more source

Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach

Journal of Forecasting, EarlyView.
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch, Candace Berrett, Mason Ferlic, Kimberly F. Sellers   +3 more
wiley   +1 more source

Functional diversity in agricultural landscapes: evidence of long‐term clustering and multi‐scale effects of land use on avian communities

Oikos, EarlyView.
Functional diversity (FD) is an essential community property connecting biodiversity, ecosystem functioning, and conservation objectives. In agricultural landscapes, avian communities, which play key functional roles, are facing large‐scale biodiversity erosion, largely due to land‐use changes.
Pietro Tirozzi, Olivia Dondina, Valerio Orioli, Luciano Bani   +3 more
wiley   +1 more source

A composite‐loss graph neural network for the multivariate post‐processing of ensemble weather forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley   +1 more source

A Novel Flexible Class of Intervened Poisson Distribution by Lagrangian Approach

Stats, 2023
The zero-truncated Poisson distribution (ZTPD) generates a statistical model that could be appropriate when observations begin once at least one event occurs.
Muhammed Rasheed Irshad, Mohanan Monisha, Christophe Chesneau, Radhakumari Maya, Damodaran Santhamani Shibu   +4 more
doaj   +1 more source