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- W2185430398 abstract "A new method is presented for selecting a single category or the smallest subset of categories, based on observations from a multinomial data set, where the selection criterion is a minimally required lower probability that (at least) a specic number of future observations will belong to that category or subset of categories. The inferences about the future observations are made using an extension of Coolen and Augustin’s nonparametric predictive inference (NPI) model to a situation with multiple future observations." @default.
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- W2185430398 date "2009-01-01" @default.
- W2185430398 modified "2023-09-25" @default.
- W2185430398 title "Category Selection for Multinomial Data" @default.
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