<p>Positive (negative) values of imply that the data are better described by the power law (negative binomial) distribution. While the whole distribution is better described by the negative binomial, the power law is a better fit to the large- behavior, which governs the asymptotic behavior of the epidemic threshold.</p
Background. The negative binomial distribution is used commonly throughout biology as a model for ov...
In the peak over threshold model resulting in the Extreme-value distribution, type I, (EV1) the firs...
<p>The disease parameters are , . Results of simulations having initial infections chosen with proba...
<p>The curves depict the average epidemic size as a function of the external transmission rates in t...
Comparison of distributions shows that negative binomial is a better fit to the 28°C bite data (time...
Surveillance data collected on several hundred different infectious organisms over 20 years have rev...
<p>The circles represent the epidemic threshold from our simulation, and the lines the predictions o...
<p>The right tail of the distribution of vectors (larvae and nymphae) on hosts (mice and lizards) is...
Gray boxes are observed estimates from our experiment. White and black boxes are predicted data from...
<p>Basic parameters of the data (total-, in- and out-degree distributions of the MSM, heterosexual, ...
We study similar statistical properties observed in distinct real world data. In particular, we focu...
The negative binomial distribution (NBD) is widely used to describe the distribution of parasitic he...
BackgroundThe negative binomial distribution is used commonly throughout biology as a model for over...
Incidence rate ratios (95% CI) for negative binomial models evaluating associations between COVID-19...
Spatial pattern, an important epidemiological property of plant diseases, can be quantified at diffe...
Background. The negative binomial distribution is used commonly throughout biology as a model for ov...
In the peak over threshold model resulting in the Extreme-value distribution, type I, (EV1) the firs...
<p>The disease parameters are , . Results of simulations having initial infections chosen with proba...
<p>The curves depict the average epidemic size as a function of the external transmission rates in t...
Comparison of distributions shows that negative binomial is a better fit to the 28°C bite data (time...
Surveillance data collected on several hundred different infectious organisms over 20 years have rev...
<p>The circles represent the epidemic threshold from our simulation, and the lines the predictions o...
<p>The right tail of the distribution of vectors (larvae and nymphae) on hosts (mice and lizards) is...
Gray boxes are observed estimates from our experiment. White and black boxes are predicted data from...
<p>Basic parameters of the data (total-, in- and out-degree distributions of the MSM, heterosexual, ...
We study similar statistical properties observed in distinct real world data. In particular, we focu...
The negative binomial distribution (NBD) is widely used to describe the distribution of parasitic he...
BackgroundThe negative binomial distribution is used commonly throughout biology as a model for over...
Incidence rate ratios (95% CI) for negative binomial models evaluating associations between COVID-19...
Spatial pattern, an important epidemiological property of plant diseases, can be quantified at diffe...
Background. The negative binomial distribution is used commonly throughout biology as a model for ov...
In the peak over threshold model resulting in the Extreme-value distribution, type I, (EV1) the firs...
<p>The disease parameters are , . Results of simulations having initial infections chosen with proba...