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Identifying influential observations in logistic discriminant analysis

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  • Poon, Wai-Yin

Abstract

Logistic discriminant analysis is frequently applied to data sets with discrete observed variables. When atypical observations exist in a data set, they may exert undue influence on the result of the analysis. The local influence approach is employed to develop diagnostic measures for identifying influential patterns in two-group logistic discriminant analysis. Examples based on real data are used for illustration.

Suggested Citation

  • Poon, Wai-Yin, 2006. "Identifying influential observations in logistic discriminant analysis," Statistics & Probability Letters, Elsevier, vol. 76(13), pages 1348-1355, July.
    • Handle: RePEc:eee:stapro:v:76:y:2006:i:13:p:1348-1355
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    References listed on IDEAS

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    1. Johnson, Wesley, 1987. "The Detection of Influential Observations for Allocation, Separation, and the Determination of Probabilities in a Bayesian Framework," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(3), pages 369-381, July.
    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.
    3. Norm A. Campbell, 1978. "The Influence Function as an Aid in Outlier Detection in Discriminant Analysis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 27(3), pages 251-258, November.
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