Sentence examples for negative binomial example from inspiring English sources
For the negative binomial example, we see that the sCMP class of distributions again performs well in estimating the form of the simulated dataset.
For example, we chose the zero-inflated negative binomial model for the outcome variable of LOS in order to account for both overdispersion and excess zeroes.
For example, the over-dispersion parameter (discussed below) in the Negative Binomial model accounts for the variation across the biological replicates [ 26].
A negative binomial model has been used as an alternative to model the larger variance, for example in testing differential expression for digital gene expression data (Robinson and Smyth, 2007), given it has one more parameter than the Poisson distribution.
A few noteworthy examples are: Roebuck, French and Dennis (2004), who looked at the link between marijuana use, high school dropouts and truancy outcomes using as zero inflated negative binomial model; and Temple and Reynold (2007), who looked at the effectiveness of preschool participation on years of special education and on the number of arrests, using a zero inflated negative binomial model.
In particular, random parameter negative binomial model was used to investigate pedestrian crashes.
For instance, comparisons between Zero inflated count models with ordinary Poisson, or Zero inflated negative binomial against ordinary negative binomial model can be done using Voung test.
We also investigated the negative binomial model.
If π = 0, the zero-inflated negative binomial model simplifies to the negative binomial model.
By Vuong test, zero-inflated negative binomial regression model was not significantly better than negative binomial model (z = 1.14, p = 0.128), thus negative binomial model was chosen.
