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dmimgpm has a sampling region from which a histogram of various count values in the region is created.
The Poisson regression has been used in earlier studies to estimate demand regressions using various count variables.
Assuming no knowledge of the data dispersion type, we consider various count data model parameter estimations to describe this real data distribution: Poisson, negative binomial, and sCMP at various levels of m=1,2,3,4.
Various count models, with negative binomial (NB) being the most popular, are used to estimate the expected number of crashes over the road network in a study area, and the estimates are subsequently compared with a pre-specified threshold value for determining if a site belongs to a hotspot.
To do so, the various count estimates generated by RepEnrich were analyzed using EdgeR bioconductor package for statistically significant enrichment of repetitive elements in simulated ChIP-seq conditions [ 48].
In Table 1, the mean value of various count rate variables, relative probe counting efficiency ratio, and T/B ratio for the nine 18F-FDG-avid tissue sites tested by the three different gamma detection probe systems are shown.
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