On Logarithmically Asymptotically Optimal Hypothesis Testing of Distributions for Pair of Statistically Dependent Objects
Abstract
The problem of hypotheses testing for a model consisting of two statistically dependent objects is considered. It is supposed that two probability distributions are known for the first object and the second object dependent on the first can be distributed according to one of two given conditional distributions. The matrix of asymptotical optimal interdependencies (reliability-reliability functions) of all possible pairs of the error probability exponents (reliabilities) is studied. The case with two objects which can't have the same probability distribution from two given was discussed by Ahlswede and Haroutunian and for three hypotheses by Haroutunian and Yessayan.
References
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