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In probability theory, Dvoretzky-Kiefer-Wolfowitz inequality refers to finite-sample bound on the probability that the empirical distribution function departs from the true one by more than a given amount anywhere on the line. This meaning comes from Dvoretzky (1956) in The Annals of Mathematical Statistics.[1]
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