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Finite sample selection criteria for multinomial models

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Finite sample selection criteria are derived for the case of multinomial operating and approximating models. The criteria are based on the Kullback-Leibler, the Gauß and the Pearsonchisquared discrepancies and turn out to be crossvalidatory.

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Correspondence to H. Linhart.

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Linhart, H., Zucchini, W. Finite sample selection criteria for multinomial models. Statistische Hefte 27, 173–178 (1986). https://doi.org/10.1007/BF02932566

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  • Model Selection
  • Operating Model
  • Multinomial Model
  • Unbiased Estimator
  • Multinomial Distribution