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Influence Measures in Contingency Tables With Application in Sampling Zeros

Author

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  • Wai-Yin Poon

    (Chinese University of Hong Kong)

  • Man-Lai Tang

    (Harvard University)

  • Shu-Jia Wang

    (Shenzhen University)

Abstract

Based on the local influence approach with an appropriate perturbation scheme, measures are developed to assess the influence of an individual cell in contingency tables. The authors demonstrate that the developed measures are particularly suitable for sensitivity analysis in tables with sampling zeros. The independence model and the log-linear model, together with numerical examples, are presented for illustration.

Suggested Citation

  • Wai-Yin Poon & Man-Lai Tang & Shu-Jia Wang, 2003. "Influence Measures in Contingency Tables With Application in Sampling Zeros," Sociological Methods & Research, , vol. 31(4), pages 439-452, May.
    • Handle: RePEc:sae:somere:v:31:y:2003:i:4:p:439-452
    DOI: 10.1177/0049124103251946
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    References listed on IDEAS

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    1. Agresti, Alan & Yang, Ming-Chung, 1987. "An empirical investigation of some effects of sparseness in contingency tables," Computational Statistics & Data Analysis, Elsevier, vol. 5(1), pages 9-21.
    2. W.‐Y. Poon & Y. S. Poon, 1999. "Conformal normal curvature and assessment of local influence," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(1), pages 51-61.
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