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This article is cited in 1 scientific paper (total in 1 paper)
Extremal characteristics of tests for multiple hypotheses with given mutual total variation distances
M. P. Savelov Lomonosov Moscow State University
Abstract:
We consider extremal values of the characteristics of nonrandomized statistical criteria in the following case: there are $n$ hypotheses with given total variation distances. It is shown that finding the extremal values of a function of error probabilities may be reduced to solving a finite-dimensional linear programming problem. We found exact formulas for extreme values of the sum of all error probabilities in the case $n=3$.
Keywords:
multiple hypothesis testing, nonrandomized tests, total variation distance, extremal sets of distributions.
Received: 27.10.2015
Citation:
M. P. Savelov, “Extremal characteristics of tests for multiple hypotheses with given mutual total variation distances”, Teor. Veroyatnost. i Primenen., 61:3 (2016), 439–463; Theory Probab. Appl., 61:3 (2017), 442–461
Linking options:
https://www.mathnet.ru/eng/tvp5068https://doi.org/10.4213/tvp5068 https://www.mathnet.ru/eng/tvp/v61/i3/p439
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Abstract page: | 412 | Full-text PDF : | 169 | References: | 66 | First page: | 10 |
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