Test for Spatio-Temporal Counts Being Poisson

Abstract

The new Log-Linear Test (T_L) is proposed to identify when the Poisson model fails for a collection of count random variables. T_L is shown to have better rejection rate with small sample size and essentially the same power compared to a classical Fisher-Bohning’s Statistic T_F for standard alternatives to Poisson.