Count data modelling comprises a suite of statistical techniques dedicated to analysing non-negative integer-valued observations. Such data often arise in a variety of contexts including epidemiology, ...

We review special issues in multiplicity adjustment where the sampling distributions are discrete. These include (1) incorporating discreteness into the multiplicity adjustments, (2) incorporating ...

Constrained negative binomial, Neyman type A, Polya-Aeppli, and Poisson-with-zeroes distributions are shown to satisfy Perry and Taylor's requirements regarding Taylor's power law when fitted with n + ...

Choosing the right type of chart helps you display discrete data more effectively. Discrete data consists of whole numbers that are counted rather than measured. For example, when you track items sold ...