<p>All parameter estimates are significant at the 1% level.</p><p>Estimates of Poisson models using simulated data.</p
<p>Note: ** significant at 0.05 level,</p><p>* significant at 0.1 level.</p><p>Parameter estimations...
<p>Model parameters varied in the simulations with the range of parameter values used in each simula...
<p>Also given are the standard error and T statistic for the values, and the upper and lower 95% con...
<p>***significant at the 1% level.</p><p>** significant at the 5% level.</p><p>* significant at the ...
a<p>Model 1 is the simple Poisson model without spatially structured random effects.</p>b<p>Model 2 ...
<p>Parameter estimates for theoretical model applied to simulated data for various TTC thresholds.</...
<p>Parameter estimates and 95% credible intervals for the categorical variables of the chosen model....
<p>Accuracies of estimates (, , and ) and regression coefficients of estimates on their true values ...
The zero-inflated Poisson model is discussed in the context of a real life situation. The moment est...
In many studies of dynamic systems, the stochastic aspects are as important as the dynamic. It is th...
<p>Optimised Estimates for Components of the Spatial and Non-Spatial Models and the Poisson Mixed-Ef...
<p>Parameter estimates are considered statistically significant when 95% credible intervals do not o...
<p>* Significant at <i>p</i><0.05,</p><p>** Significant at <i>p</i><0.01.</p><p>Parameter estimates ...
<p>Simulation study estimates of bias (mean and 95% confidence interval for the mean).</p
<p>Confidence intervals using asymptotic properties of maximum likelihood estimates - Poisson distri...
<p>Note: ** significant at 0.05 level,</p><p>* significant at 0.1 level.</p><p>Parameter estimations...
<p>Model parameters varied in the simulations with the range of parameter values used in each simula...
<p>Also given are the standard error and T statistic for the values, and the upper and lower 95% con...
<p>***significant at the 1% level.</p><p>** significant at the 5% level.</p><p>* significant at the ...
a<p>Model 1 is the simple Poisson model without spatially structured random effects.</p>b<p>Model 2 ...
<p>Parameter estimates for theoretical model applied to simulated data for various TTC thresholds.</...
<p>Parameter estimates and 95% credible intervals for the categorical variables of the chosen model....
<p>Accuracies of estimates (, , and ) and regression coefficients of estimates on their true values ...
The zero-inflated Poisson model is discussed in the context of a real life situation. The moment est...
In many studies of dynamic systems, the stochastic aspects are as important as the dynamic. It is th...
<p>Optimised Estimates for Components of the Spatial and Non-Spatial Models and the Poisson Mixed-Ef...
<p>Parameter estimates are considered statistically significant when 95% credible intervals do not o...
<p>* Significant at <i>p</i><0.05,</p><p>** Significant at <i>p</i><0.01.</p><p>Parameter estimates ...
<p>Simulation study estimates of bias (mean and 95% confidence interval for the mean).</p
<p>Confidence intervals using asymptotic properties of maximum likelihood estimates - Poisson distri...
<p>Note: ** significant at 0.05 level,</p><p>* significant at 0.1 level.</p><p>Parameter estimations...
<p>Model parameters varied in the simulations with the range of parameter values used in each simula...
<p>Also given are the standard error and T statistic for the values, and the upper and lower 95% con...
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