Identification of Outlying Cells in Multi-way Tables
by Jong Cheol Lee and Chong Sun Hong
An identification method is proposed in order to detect more than one
outlying cells in multi-way contingency tables. The iterative proportional fitting
method is applied to get expected values of several suspected outlying cells. Since
the proposed method uses minimal sufficient statistics under quasi log-linear models,
expected counts of outlying cells could be estimated under any hierarchical log-linear
models. This method is an extension of the backwards-stepping method of Simonoff (1988)
and requires less iteration to identify outlying cells.
backwards stepping, Bonfferoni's bound, deleted residual, forwards stepping,
hierarchical loglinear model, influence, minimal sufficient statistics, outlying cell,
Jong Cheol Lee
Chong Sun Hong
Mun Sup Seoh
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