Outlier Identification Procedures for Contingency Tables using Maximum Likelihood and L1 Estimates

Abstract.  Observed cell counts in contingency tables are perceived as outliers if they have low probability under an anticipated loglinear Poisson model. New procedures for the identification of such outliers are derived using the classical maximum likelihood estimator and an estimator based on the L ₁ norm.