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• W2006069320 abstract "A nonparametric method is considered which yields smoothed estimates of the response probabilities when the response variable is categorical. The method is based on Lauder's (1983) direct kernel estimates which are extended to allow for ordinal kernels. Thus one can make use of the ordinal scale of the response variable. A class of predictive loss functions is introduced on which the cross-validatory choice of smoothing parameters is based. Plots of the smoothed response probabilities may be used to uncover the form of covariate effects" @default.
• W2006069320 created "2016-06-24" @default.
• W2006069320 creator A5028762677 @default.
• W2006069320 date "1990-07-01" @default.
• W2006069320 modified "2023-10-16" @default.
• W2006069320 title "Smoothed categorical regression based on direct kernel estimates" @default.
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• W2006069320 doi "https://doi.org/10.1080/00949659008811274" @default.
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