Results 81 to 90 of about 1,170 (203)
ABSTRACT Recent theoretical work shows that the potential of genetic selection to reduce the prevalence of infectious diseases is much larger than expected from classical quantitative genetic theory, due to indirect genetic effects that arise in the transmission process. However, to fully benefit from these indirect effects, we need to estimate genetic
A. D. Hulst +4 more
wiley +1 more source
Drivers of ecological assembly in the hindgut of Atlantic Cod fed a macroalgal supplemented diet
It is difficult to disentangle the many variables (e.g. internal or external cues and random events) that shape the microbiota in the gastrointestinal tract of any living species.
C. Keating +9 more
doaj +1 more source
Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach
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 +3 more
wiley +1 more source
ABSTRACT Oceanographic and ecological conditions can be used to inform forecasts and decision‐making for marine resources, but the dominant drivers of recruitment variability remain poorly understood for many fish stocks. We developed a conceptual life‐history model of the oceanographic and ecological variables that influence the recruitment of ...
Megan L. Feddern +3 more
wiley +1 more source
Is "underdispersion" underestimated?
We often come across overdispersion in counts. But how about underdispersion? When analysing field trial results, the number of maize plants observed per 2m-long transect, in four randomly chosen transects per plot, from various plots were found to be ...
Chikako van Koten (7326815) +1 more
core
A Comparison of Two Test Statistics for Poisson Overdispersion/Underdispersion
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 ...
Hongyue Wang +3 more
openaire +2 more sources
Non‐native species are one of the greatest threats to biodiversity worldwide due to their direct and indirect effects on native communities. There are two opposing hypotheses to explain how non‐native species successfully establish outside their native range.
Fabio Marcolin +7 more
wiley +1 more source
A model for underdispersed count data
Abstract Underdispersed count data sometimes occurs in economic studies, and is here modelled as a mixture of a Poisson random variate and of one of a new class of underdispersed ‘Poisson $$-m$$
openaire +1 more source
Use of Cluster Analysis for Identifying Metafounders
ABSTRACT In the metafounder approach, the relationship matrix of metafounders, Γ is used to transfer information on relationships between pedigree founders into the numerator relationship matrix A, creating matrix AΓ. Commonly metafounders are defined based on the available information of the animal (e.g., country, sex, breed) similar to unknown parent
Christine Anglhuber +5 more
wiley +1 more source
Extended negative binomial hurdle models
Poisson models are widely used for statistical inference on count data. However, zero-inflation or zero-deflation with either overdispersion or underdispersion could occur.
Youngjo Lee, Maengseok Noh
core +1 more source

