Abstract
We propose a stepwise confirmatory procedure for the detection of multiple outliers in two-way contingency tables. The method begins with perturbation diagnostics to provide a reliable set of candidate outliers, then applies an adding-back iterative algorithm to assess their relative discordancy. Using two real data sets, the proposed procedure is shown to be less susceptible to both masking and swamping problems than residual-based measures.
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