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Minimum probability of error of list -ary hypothesis testing
www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/AG495/ht_list_iai.pdf21 Jun 2023: x̄L, ȳ). QX(x̄1,. , x̄L)Q̂(ȳ)= μ. (A33). As a result, the test T̂ is an optimal Neyman–Pearson test according to (2.6) and satisfies.
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