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Unmasking outliers in two-way contingency tables

โœ Scribed by John S. Yick; Andy H. Lee


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
511 KB
Volume
29
Category
Article
ISSN
0167-9473

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โœฆ Synopsis


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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The Decompositions for Point Symmetry Mo
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The decomposition for the complete point symmetry model in a rectangular contingency table is shown. Also the respective decompositions for the local point symmetry model and the reverse local point symmetry model in a square contingency table are given. Moreover teat procedures for the decomposed m