The Influence Function as an Aid in Outlier Detection in Discriminant Analysis
Journal of the Royal Statistical Society Series C (Applied Statistics)Published 1 January 1978
N. A. Campbell
Citations102
SJR quartileQ2
SJR score0.65
SNIP0.78
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Abstract
The influence function is used to develop criteria for detecting outliers in discriminant analysis. For Mahalanobis' D2, the influence function is a quadratic function of the deviation of the discriminant score for the perturbed observation from the discriminant score for the mean of the corresponding group. A X2 approximation to the null distribution of the influence function values appears to be suitable for graphical representation.
Keywords
MathematicsDecision Sciences
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