The zero-inflated Poisson model is discussed in the context of a real life situation. The moment estimators of the parameters in the model are obtained and they are compared with the respective maximum likelihood estimators through simulation
This paper makes a theoretical contribution by presenting a detailed derivation of a zero-inflated P...
This thesis covers non-homogeneous Poisson processes along with estimation of the intensity (rate) f...
Count data with excessive zeros are ubiquitous in healthcare, medical, and scientific studies. There...
This paper deals with the zero-inflated Poisson distribution. First the Poisson model is defined and...
This paper considers the problem of estimating the mean of a Poisson distribution when there are err...
The method of moments (MM) has been widely used for parametric estimation, as it is often computatio...
<p>All parameter estimates are significant at the 1% level.</p><p>Estimates of Poisson models using ...
We extend the simulation results given in Santos-Silva and Tenreyro (2006, ‘The Log of Gravity’, The...
This work is devoted to simultaneously estimating the parameters of the distributions of several ind...
We note that the existence of the maximum likelihood estimates for Poisson regression depends on the...
Summary. The importance of the Poisson distribution among the discrete distributions has led to the ...
a<p>Model 1 is the simple Poisson model without spatially structured random effects.</p>b<p>Model 2 ...
The Zero-Inflated Poisson (ZIP) distribution, typically assumed for modeling count data with excess ...
In this work, we propose to compare two algorithms to compute maximum likelihood estimates for the ...
AbstractFor nonnegative measurements such as income or sick days, zero counts often have special sta...
This paper makes a theoretical contribution by presenting a detailed derivation of a zero-inflated P...
This thesis covers non-homogeneous Poisson processes along with estimation of the intensity (rate) f...
Count data with excessive zeros are ubiquitous in healthcare, medical, and scientific studies. There...
This paper deals with the zero-inflated Poisson distribution. First the Poisson model is defined and...
This paper considers the problem of estimating the mean of a Poisson distribution when there are err...
The method of moments (MM) has been widely used for parametric estimation, as it is often computatio...
<p>All parameter estimates are significant at the 1% level.</p><p>Estimates of Poisson models using ...
We extend the simulation results given in Santos-Silva and Tenreyro (2006, ‘The Log of Gravity’, The...
This work is devoted to simultaneously estimating the parameters of the distributions of several ind...
We note that the existence of the maximum likelihood estimates for Poisson regression depends on the...
Summary. The importance of the Poisson distribution among the discrete distributions has led to the ...
a<p>Model 1 is the simple Poisson model without spatially structured random effects.</p>b<p>Model 2 ...
The Zero-Inflated Poisson (ZIP) distribution, typically assumed for modeling count data with excess ...
In this work, we propose to compare two algorithms to compute maximum likelihood estimates for the ...
AbstractFor nonnegative measurements such as income or sick days, zero counts often have special sta...
This paper makes a theoretical contribution by presenting a detailed derivation of a zero-inflated P...
This thesis covers non-homogeneous Poisson processes along with estimation of the intensity (rate) f...
Count data with excessive zeros are ubiquitous in healthcare, medical, and scientific studies. There...
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