This study introduces a more flexible approach by employing the fixed effects negative binomial model to address challenges associated with outliers and dispersion. Unlike previous studies that ...

The authors reviewed distributional analyses from bills over the last 35 years. The Republican megabill now before the Senate cuts taxes for high earners and reduces benefits for the poor. If it’s ...

Abstract: It has been recognized that the yield of fault-tolerant VLSI circuits depends on the size of the fault clusters. Consequently, models for yield analysis have been proposed for large-area ...

The Negative Binomial Multiple Change Point Algorithm is a hybrid change detection and estimation approach that works well for overdispersed and equidispersed count data. This simulation study ...

Add a description, image, and links to the negative-binomial-distribution topic page so that developers can more easily learn about it.

Count data is almost always over-dispersed where the variance exceeds the mean. Several count data models have been proposed by researchers but the problem of over-dispersion still remains unresolved, ...