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Robust Sequential Testing of Hypotheses on Discrete Probability Distributions

Alexey Kharin, Dzmitry Kishylau

Austrian Journal of Statistics · 2016

doi:10.17713/ajs.v34i2.408 (opens in a new tab)

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Abstract

The paper is devoted to analysis of approximations of the models in sequential hypotheses testing and to construction of new robust sequential test under the distortions presented by mixtures of probability distributions. The previous results of the authors are extended to the case of arbitrary discrete probability distributions. The theory is illustrated by computer modelling.

Abstract licence: CC BY

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