Identifying influential observations in logistic discriminant analysis

Wai-Yin Poon

Statistics & Probability Letters, 2006, vol. 76, issue 13, 1348-1355

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.

Keywords: Logistic; discriminant; analysis; Local; influence (search for similar items in EconPapers)
Date: 2006
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