<p>***significant at the 1% level.</p><p>** significant at the 5% level.</p><p>* significant at the 10% level (robust standard errors clustered by trajectories).</p><p>Estimates of Poisson models using the New York Times Data.</p
Count data models have a large number of pratical applications. However there can be several problem...
<p><b>A</b> For low link weight (), Poisson resampling precisely coincides with article resampling. ...
<p>Description of JEY users, the Bivariate and Multivariate Poisson Regression model with prevalence...
<p>All parameter estimates are significant at the 1% level.</p><p>Estimates of Poisson models using ...
<p>* Starred coefficient estimates are significantly different from zero at the 5% level.</p><p>Esti...
a<p>Model 1 is the simple Poisson model without spatially structured random effects.</p>b<p>Model 2 ...
<p>Results of Poisson regression models on expected incidence rates in the reference population (pop...
<p>All terms used, except the intercept (int.), were categorical (0 = low, 1 = high) and include s...
<p>Cluster-robust standard errors in parentheses.</p><p>*** p<.001</p><p>** p<.01</p><p>* p<.05</p><...
Models are considered in which the underlying rate at which events occur can be represented by a reg...
<p>PAC = proportional abundance change, Est = Estimate, Var = Variance. Model assumptions were me...
<p>Cluster-robust standard errors in parentheses.</p><p>*** p<.001</p><p>** p<.01</p><p>* p<.05</p><...
When speaking about data, presuppose its good quality otherwise the accuracy of information would be...
<p>Cluster-robust standard errors in parentheses.</p><p>*** p<.001</p><p>** p<.01</p><p>* p<.05</p><...
Poisson basic assumption of equidispersion is often too much restrictive for crash count data; in fa...
Count data models have a large number of pratical applications. However there can be several problem...
<p><b>A</b> For low link weight (), Poisson resampling precisely coincides with article resampling. ...
<p>Description of JEY users, the Bivariate and Multivariate Poisson Regression model with prevalence...
<p>All parameter estimates are significant at the 1% level.</p><p>Estimates of Poisson models using ...
<p>* Starred coefficient estimates are significantly different from zero at the 5% level.</p><p>Esti...
a<p>Model 1 is the simple Poisson model without spatially structured random effects.</p>b<p>Model 2 ...
<p>Results of Poisson regression models on expected incidence rates in the reference population (pop...
<p>All terms used, except the intercept (int.), were categorical (0 = low, 1 = high) and include s...
<p>Cluster-robust standard errors in parentheses.</p><p>*** p<.001</p><p>** p<.01</p><p>* p<.05</p><...
Models are considered in which the underlying rate at which events occur can be represented by a reg...
<p>PAC = proportional abundance change, Est = Estimate, Var = Variance. Model assumptions were me...
<p>Cluster-robust standard errors in parentheses.</p><p>*** p<.001</p><p>** p<.01</p><p>* p<.05</p><...
When speaking about data, presuppose its good quality otherwise the accuracy of information would be...
<p>Cluster-robust standard errors in parentheses.</p><p>*** p<.001</p><p>** p<.01</p><p>* p<.05</p><...
Poisson basic assumption of equidispersion is often too much restrictive for crash count data; in fa...
Count data models have a large number of pratical applications. However there can be several problem...
<p><b>A</b> For low link weight (), Poisson resampling precisely coincides with article resampling. ...
<p>Description of JEY users, the Bivariate and Multivariate Poisson Regression model with prevalence...
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