DOIAbstract
extensively used for the description of data too heterogeneous to be fitted by a Poisson distribution. Observed samples, however, may be truncated, in the sense that the numbe
extensively used for the description of data too heterogeneous to be fitted by a Poisson distribution. Observed samples, however, may be truncated, in the sense that the numbe
International audienceA frequent issue in the study of species abundance consists in modeling empiri...
The negative binomial model is an important and flexible two parameter distribution that models data...
We present new commands for analyzing count-data regression models for truncated distributions. The ...
Recent studies on biological data which vary somewhat from Poisson description have brought the nega...
Two interesting results encountered in the literature concerning the Poisson and the negative binomi...
Abst ract. The present article shows that a limiting argument that is essentially the law of small n...
A size-biased negative binomial distribution, a particular case of the weighted negative binomial di...
It is shown that the distributions on Z+ that can be approximated by mixtures of negative binomial d...
Modeling empirical distributions of repeated counts with parametric probability distributions is a f...
It is shown that the distributions on Z+ that can be approximated by mixtures of negative binomial d...
It has been argued that by truncating the sample space of the negative binomial and of the inverse G...
The Poisson distribution has been widely used for modelling rater agreement using loglinear models. ...
The generalized negative binomial distribution characterized by three parameters, has been used to f...
<p>The concept of truncated normal distribution is able to represent a distribution with arbitrary s...
Data presented as contingency tables and classified by qualitative or quantitative methods are usual...
International audienceA frequent issue in the study of species abundance consists in modeling empiri...
The negative binomial model is an important and flexible two parameter distribution that models data...
We present new commands for analyzing count-data regression models for truncated distributions. The ...
Recent studies on biological data which vary somewhat from Poisson description have brought the nega...
Two interesting results encountered in the literature concerning the Poisson and the negative binomi...
Abst ract. The present article shows that a limiting argument that is essentially the law of small n...
A size-biased negative binomial distribution, a particular case of the weighted negative binomial di...
It is shown that the distributions on Z+ that can be approximated by mixtures of negative binomial d...
Modeling empirical distributions of repeated counts with parametric probability distributions is a f...
It is shown that the distributions on Z+ that can be approximated by mixtures of negative binomial d...
It has been argued that by truncating the sample space of the negative binomial and of the inverse G...
The Poisson distribution has been widely used for modelling rater agreement using loglinear models. ...
The generalized negative binomial distribution characterized by three parameters, has been used to f...
<p>The concept of truncated normal distribution is able to represent a distribution with arbitrary s...
Data presented as contingency tables and classified by qualitative or quantitative methods are usual...
International audienceA frequent issue in the study of species abundance consists in modeling empiri...
The negative binomial model is an important and flexible two parameter distribution that models data...
We present new commands for analyzing count-data regression models for truncated distributions. The ...
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