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
READING THE ARTICLE: You can read the article in
portable document (.pdf) format (147053 bytes.)
NOTE: The content of this article is the intellectual property of the authors, who retains all rights to future publication.
This page has been accessed 2484 times since July 24, 2006.
Return to the 
Home Page.