Exponential rates for the error probabilities in selection procedures
Kybernetika, Tome 35 (1999) no. 3, p. [309].

Voir la notice de l'article dans Czech Digital Mathematics Library

For a sequence of statistical experiments with a finite parameter set the asymptotic behavior of the maximum risk is studied for the problem of classification into disjoint subsets. The exponential rates of the optimal decision rule is determined and expressed in terms of the normalized limit of moment generating functions of likelihood ratios. Necessary and sufficient conditions for the existence of adaptive classification rules in the sense of Rukhin [Ru1] are given. The results are applied to the problem of the selection of the best population. Exponential families are studied as a special case, and an example for the normal case is included.
Classification : 62C25, 62F07, 62H30
Mots-clés : generating functions of likelihood ratio; exponential family 
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     author = {Liese, Friedrich and Miescke, Klaus J.},
     title = {Exponential rates for the error probabilities in selection procedures},
     journal = {Kybernetika},
     pages = {[309]},
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     volume = {35},
     number = {3},
     year = {1999},
     mrnumber = {1704669},
     zbl = {1274.62158},
     language = {en},
     url = {https://geodesic-test.mathdoc.fr/item/KYB_1999__35_3_a2/}
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Liese, Friedrich; Miescke, Klaus J. Exponential rates for the error probabilities in selection procedures. Kybernetika, Tome 35 (1999) no. 3, p. [309]. https://geodesic-test.mathdoc.fr/item/KYB_1999__35_3_a2/