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In the theory of probability and statistics, the Dvoretzky–Kiefer–Wolfowitz–Massart inequality (DKW inequality) bounds how close an empirically determined distribution function will be to the distribution function from which the empirical samples are drawn. It is named after Aryeh Dvoretzky, Jack Kiefer, and Jacob Wolfowitz, who in 1956 proved the inequality with an unspecified multiplicative constant C in front of the exponent on the right-hand side.

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  • Dvoretzky–Kiefer–Wolfowitz inequality (en)
  • Inégalité DKW (fr)
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  • En probabilités et statistiques, l'inégalité DKW (Dvoretzky-Kiefer-Wolfowitz) précise à quel point la fonction de répartition empirique sera proche de la fonction de répartition théorique de la variable aléatoire étudiée. Cette inégalité est due aux mathématiciens Aryeh Dvoretzky, Jack Kiefer et Jacob Wolfowitz qui en 1956 ont prouvé l'inégalité mais avec une constante multiplicative indéterminée. Ce n'est qu'en 1990 que Pascal Massart montre que l'inégalité était vraie pour la constante , confirmant ainsi une conjecture de Birnbaum et McCarty. (fr)
  • In the theory of probability and statistics, the Dvoretzky–Kiefer–Wolfowitz–Massart inequality (DKW inequality) bounds how close an empirically determined distribution function will be to the distribution function from which the empirical samples are drawn. It is named after Aryeh Dvoretzky, Jack Kiefer, and Jacob Wolfowitz, who in 1956 proved the inequality with an unspecified multiplicative constant C in front of the exponent on the right-hand side. (en)
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  • http://commons.wikimedia.org/wiki/Special:FilePath/DKW_bounds.svg
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  • In the theory of probability and statistics, the Dvoretzky–Kiefer–Wolfowitz–Massart inequality (DKW inequality) bounds how close an empirically determined distribution function will be to the distribution function from which the empirical samples are drawn. It is named after Aryeh Dvoretzky, Jack Kiefer, and Jacob Wolfowitz, who in 1956 proved the inequality with an unspecified multiplicative constant C in front of the exponent on the right-hand side. In 1990, Pascal Massart proved the inequality with the sharp constant C = 2, confirming a conjecture due to Birnbaum and McCarty. In 2021, Michael Naaman proved the multivariate version of the DKW inequality and generalized Massart's tightness result to the multivariate case, which results in a sharp constant of twice the number of variables, C = 2k. (en)
  • En probabilités et statistiques, l'inégalité DKW (Dvoretzky-Kiefer-Wolfowitz) précise à quel point la fonction de répartition empirique sera proche de la fonction de répartition théorique de la variable aléatoire étudiée. Cette inégalité est due aux mathématiciens Aryeh Dvoretzky, Jack Kiefer et Jacob Wolfowitz qui en 1956 ont prouvé l'inégalité mais avec une constante multiplicative indéterminée. Ce n'est qu'en 1990 que Pascal Massart montre que l'inégalité était vraie pour la constante , confirmant ainsi une conjecture de Birnbaum et McCarty. (fr)
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