Results 71 to 80 of about 1,308 (195)
A new model of biodosimetry to integrate low and high doses. [PDF]
Biological dosimetry, that is the estimation of the dose of an exposure to ionizing radiation by a biological parameter, is a very important tool in cases of radiation accidents.
Mònica Pujol +5 more
doaj +1 more source
A Novel Flexible Class of Intervened Poisson Distribution by Lagrangian Approach
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 +4 more
doaj +1 more source
Assessing working lands as habitat for disturbance‐dependent birds using autonomous recording units
Abstract Introduction Working lands can provide habitat for declining disturbance‐dependent birds, such as Bachman's Sparrow (Peucaea aestivalis) and Northern Bobwhite (Colinus virginianus), but it remains unclear whether restoration following intensive land use (e.g. surface mining) yields habitat comparable to less intensive land uses (e.g.
Dan H. Watson +2 more
wiley +1 more source
Unified Stein‐Type Characterizations of Bivariate Count Distributions With Applications
ABSTRACT The derivation and application of Stein identities have received considerable research interest, especially for continuous distributions and univariate discrete distributions. In this article, we derive a unified Stein‐type characterization for three bivariate count models, namely the bivariate Poisson, type‐I bivariate binomial, and bivariate
Shaochen Wang, Christian H. Weiß
wiley +1 more source
Abstract Heatwaves challenge our understanding of how environmental stressors reshape host–parasite interactions, particularly during the critical “off‐host” stages of endoparasites. These stages, often dismissed as inert and unaffected by environmental changes, remain a black box in ecological research despite their key role in parasites' life cycle ...
Justine Boutry +2 more
wiley +1 more source
Modeling overdispersed or underdispersed count data with generalized Poisson integer-valued GARCH models [PDF]
Overdispersion in time series of counts is very common and has been well studied by many authors, but the opposite phenomenon of underdispersion may also be encountered in real applications and receives little attention.
Fukang Zhu, Zhu, Fukang
core +1 more source
Gradient‐Boosted Mixture Regression Models for Postprocessing Ensemble Weather Forecasts
ABSTRACT Nowadays, weather forecasts are based on ensemble forecasts which originate from multiple runs of numerical weather prediction models. However, such forecasts are usually miscalibrated and/or biased, thus requiring statistical postprocessing. Non‐homogeneous regression models, such as ensemble model output statistics, are frequently applied to
David Jobst
wiley +1 more source
Developing Underdispersed Discrete Distributions: A New Approach to Poisson Generalization [PDF]
This thesis introduces a new family of discrete, mean-parametrized count distributions that can achieve arbitrarily low variance for a given mean. The properties of this family are then used to generalize the Poisson distribution, enabling it to model scenarios where the data is not equidispersed.
PANIZZUTTI, GIORGIO
openaire +2 more sources
We show that impacts of agriculture on arthropod biodiversity are notably less negative in Europe than in other regions, which we find is driven by a degraded baseline, a selection bias of reference sites, and novel species compositions in agriculture that favour widespread habitat generalists and non‐native species.
Daan Scheepens +3 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

