 The Identification of Outliers in Two‐Way Contingency Tables Using 2 Times 2 SubtablesT. J. v W. Kotze and Douglas M. Hawkins Journal of the Royal Statistical Society Series C, 1984, vol. 33, issue 2, 215-223 Abstract: A significant interaction in a two‐way contingency table can often be described parsimoniously as an additive model with a few deviating “outlier” cells. Methods for location of these cells include residual‐based methods and the sequential identification of cells whose deletion leads to the maximum reduction in the statistic for independence. Such procedures, however, tend to suffer from the deficiencies of masking and swamping. The method we propose is an extension of an earlier one by Fienberg and is based on all 2 times 2 subtables containing the cell whose outlying tendency is to be tested. The essential elements of the procedure are the robust estimation of the non‐additivity of each cell; a half‐normal plot of these estimates to give a visual assessment of model fit; and a simultaneous bound to separate outlying from additive cells. The procedure is shown not to be susceptible to masking or swamping and hence identifies multiple outliers reliably in a single pass. Date: 1984 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:33:y:1984:i:2:p:215-223 Ordering information: This journal article can be ordered from Access Statistics for this article Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC. |
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