Identification of Outlying Cells in Multi-way Tables
by Jong Cheol Lee and Chong Sun Hong
.
Abstract:
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.
Key Words:
backwards stepping, Bonfferoni's bound, deleted residual, forwards stepping,
hierarchical loglinear model, influence, minimal sufficient statistics, outlying cell,
quasi-independence
Authors:
Jong Cheol Lee
,
jongskku@orgio.net
Chong Sun Hong
,
cshong@skku.ac.kr
Editor:
Mun Sup Seoh
,
munsup.seoh@wright.edu
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