… overdispersion test using the overdisp command. Findings show that, if the … of Poisson or
negative binomial models, we have illustrated how to implement directly the overdispersion test…

… We’ll find out about overdispersion by fitting the Poisson-… , a value similar to those in the
overdispersion tests above (as you’d … the corrected standard errors as Poisson-standard errors · …

… underdispersed, equidispersed, and overdispersed data. Our main … likelihood estimation,
hypothesis testing inference, diagnostic … We conduct a Monte Carlo experiment to evaluate the …

… tests for the Poisson distribution. Special attention is paid to the finite sample power performance
of several of the tests. … Finally we turn our attention to the overdispersed alternatives. …

… The over-dispersion occurs by the failure of the basic assumptions of the Poisson distribution.
… Let the random variable X represent the total counts of a specific experiment with mean A. …

… -based C-stat, resulting in a modified distribution that can be used for the hypothesis testing
of regression with overdispersed Poisson data. This method is described in the remainder of …

… Count data may be overdispersed, can be heavily right‐skewed and … ‐Poisson assumption
or the negative‐binomial distribution, we propose prediction intervals for overdispersed count …

This paper proposes a data transformation to deal with the presence of constant under/over-dispersion
relative to the Poisson or binomial assumptions. The proposed methodology is …

… We further tested the null hypothesis of a Poisson distribution against an alternative hypothesis
of a mixture using the Vuong test Vuong (1989), which proved to be smaller than 1 × 10 − …

… [22] developed a test to test for zero inflation, which also … model overdispersed and
underdispersed time series of counts. The COM-Poisson can capture a wide range of overdispersion …