A Perturbation Approach to Outlier Detection in Two-Way Contingency Tables |
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Authors: | Andy H Lee & John S Yick |
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Institution: | Curtin University of Technology and ,;Northern Territory Department of Education |
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Abstract: | In order to identify outliers in contingency tables, we evaluate the derivatives of the perturbation-formed surface of the Pearson goodness-of-fit statistic. The resulting diagnostics are shown to be less susceptible to masking and swamping problems than residual-based measures. A Monte Carlo study further confirms the effectiveness of the proposed diagnostics. |
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Keywords: | local perturbations masking outliers Pearson goodness-of-fit statistic swamping |
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