(A) Prediction distribution of the Gompertz model fitted against the data. P.I. = prediction interval. (B) Observations vs individual predictions (C) Three representative examples of individual fits chosen randomly.</p
<p>Comparison of incidence rates and simulated values among the three different prediction models fo...
<p>In this case the population genetic model is fitted to the data by matching the observed values o...
<p>Left: 5% initially infected, chosen randomly from the population. Right: 5% initially infected, c...
The importance of statistical distributions in describing and predicting real world events cannot be...
Parameters used in the Gompertz population models for each species. See supporting information S2 fo...
The Gompertz demographic model describes rates of aging and age-independent mortality with the param...
The cumulative incidence function is of great importance in the analysis of survival data when compe...
A replicate test was used to test for model fit to the data. Comparison between 3 commonly used mode...
We consider the fitting of a mixture of two Gompertz distributions to censored survival data. This ...
α_0 is the specific growth rate (in 1/days), β is the parameter driving the exponential decrease of ...
Behaviour of the upper limit estimated by an unsuitable model (the logistic curve model) was mathema...
Abstract Population forecasts have recently received a great deal of attention. They are widely used...
Quantitative analysis of tumor growth kinetics has been widely carried out using mathematical models...
Model predictions for participants choosing the predicted information compared to the alternative in...
There are numerous parametric models for analyzing survival data such as exponential, Weibull, log-n...
<p>Comparison of incidence rates and simulated values among the three different prediction models fo...
<p>In this case the population genetic model is fitted to the data by matching the observed values o...
<p>Left: 5% initially infected, chosen randomly from the population. Right: 5% initially infected, c...
The importance of statistical distributions in describing and predicting real world events cannot be...
Parameters used in the Gompertz population models for each species. See supporting information S2 fo...
The Gompertz demographic model describes rates of aging and age-independent mortality with the param...
The cumulative incidence function is of great importance in the analysis of survival data when compe...
A replicate test was used to test for model fit to the data. Comparison between 3 commonly used mode...
We consider the fitting of a mixture of two Gompertz distributions to censored survival data. This ...
α_0 is the specific growth rate (in 1/days), β is the parameter driving the exponential decrease of ...
Behaviour of the upper limit estimated by an unsuitable model (the logistic curve model) was mathema...
Abstract Population forecasts have recently received a great deal of attention. They are widely used...
Quantitative analysis of tumor growth kinetics has been widely carried out using mathematical models...
Model predictions for participants choosing the predicted information compared to the alternative in...
There are numerous parametric models for analyzing survival data such as exponential, Weibull, log-n...
<p>Comparison of incidence rates and simulated values among the three different prediction models fo...
<p>In this case the population genetic model is fitted to the data by matching the observed values o...
<p>Left: 5% initially infected, chosen randomly from the population. Right: 5% initially infected, c...