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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