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

Jong Cheol Lee ,
Chong Sun Hong ,

Editor: Mun Sup Seoh ,

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 2600 times since July 24, 2006.

Return to the InterStat Home Page.