Abstract
The new Log-Linear Test (TL) is proposed to identify when the Poisson model fails for a collection of count random variables. TL is shown to have better rejection rate with small sample size and essentially the same power compared to a classical Fisher-Bohning’s Statistic TF for standard alternatives to Poisson.
DOI
10.22237/jmasm/1209615660
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
