NEGATIVE BINOMIAL CROSS-TABULATIONS, WITH APPLICATIONS TO ABUNDANCE DATA

When data suggest the presence of ''non-Poisson'' variation, the analyses are often performed using a negative binomial model. This paper presents a methodology for analyzing cross-tabulated data under a family of two-parameter negative binomial models. A conditional likelihood approach is suggested for computational simplicity. Analysis of a data set from a pollution impact study is performed.