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- W2022158790 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." @default.
- W2022158790 created "2016-06-24" @default.
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- W2022158790 date "2006-07-01" @default.
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- W2022158790 title "Identifying influential observations in logistic discriminant analysis" @default.
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- W2022158790 doi "https://doi.org/10.1016/j.spl.2006.02.004" @default.
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