DVORETZKY–KIEFER–WOLFOWITZ INEQUALITIES FOR THE TWO-SAMPLE CASE

The Dvoretzky–Kiefer–Wolfowitz (DKW) inequality says that if Fn is an empirical distribution function for variables i.i.d. with a distribution function F, and Kn is the Kolmogorov statistic View the MathML source, then there is a constant C such that for any M>0, Pr(Kn>M)≤Cexp(−2M2). Massart p...

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Main Authors: Wei, Fan, Dudley, Richard M.
Other Authors: Massachusetts Institute of Technology. Department of Mathematics
Format: Article
Language:en_US
Published: Elsevier B.V. 2012
Online Access:http://hdl.handle.net/1721.1/70024
https://orcid.org/0000-0002-6195-4161
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author Wei, Fan
Dudley, Richard M.
author2 Massachusetts Institute of Technology. Department of Mathematics
author_facet Massachusetts Institute of Technology. Department of Mathematics
Wei, Fan
Dudley, Richard M.
author_sort Wei, Fan
collection MIT
description The Dvoretzky–Kiefer–Wolfowitz (DKW) inequality says that if Fn is an empirical distribution function for variables i.i.d. with a distribution function F, and Kn is the Kolmogorov statistic View the MathML source, then there is a constant C such that for any M>0, Pr(Kn>M)≤Cexp(−2M2). Massart proved that one can take C=2 (DKWM inequality), which is sharp for F continuous. We consider the analogous Kolmogorov–Smirnov statistic for the two-sample case and show that for m=n, the DKW inequality holds for n≥n0 for some C depending on n0, with C=2 if and only if n0≥458. The DKWM inequality fails for the three pairs (m,n) with 1≤m<n≤3. We found by computer search that the inequality always holds for n≥4 if 1≤m<n≤200, and further for n=2m if 101≤m≤300. We conjecture that the DKWM inequality holds for all pairs m≤n with the 457+3=460 exceptions mentioned.
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spelling mit-1721.1/700242022-09-30T17:32:45Z DVORETZKY–KIEFER–WOLFOWITZ INEQUALITIES FOR THE TWO-SAMPLE CASE Two-sample Dvoretzky–Kiefer–Wolfowitz inequalities Wei, Fan Dudley, Richard M. Massachusetts Institute of Technology. Department of Mathematics Dudley, Richard M. Wei, Fan Dudley, Richard M. The Dvoretzky–Kiefer–Wolfowitz (DKW) inequality says that if Fn is an empirical distribution function for variables i.i.d. with a distribution function F, and Kn is the Kolmogorov statistic View the MathML source, then there is a constant C such that for any M>0, Pr(Kn>M)≤Cexp(−2M2). Massart proved that one can take C=2 (DKWM inequality), which is sharp for F continuous. We consider the analogous Kolmogorov–Smirnov statistic for the two-sample case and show that for m=n, the DKW inequality holds for n≥n0 for some C depending on n0, with C=2 if and only if n0≥458. The DKWM inequality fails for the three pairs (m,n) with 1≤m<n≤3. We found by computer search that the inequality always holds for n≥4 if 1≤m<n≤200, and further for n=2m if 101≤m≤300. We conjecture that the DKWM inequality holds for all pairs m≤n with the 457+3=460 exceptions mentioned. 2012-04-13T17:15:34Z 2012-04-13T17:15:34Z 2011-11 2011-07 Article http://purl.org/eprint/type/JournalArticle 0167-7152 http://hdl.handle.net/1721.1/70024 Wei, Fan, and Richard M. Dudley. “Two-sample Dvoretzky–Kiefer–Wolfowitz Inequalities.” Statistics & Probability Letters 82.3 (2012): 636–644. Web. [Published in a shorter form]. https://orcid.org/0000-0002-6195-4161 en_US http://dx.doi.org/10.1016/j.spl.2011.11.012 Statistics and Probability Letters Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Elsevier B.V. Prof. Dudley
spellingShingle Wei, Fan
Dudley, Richard M.
DVORETZKY–KIEFER–WOLFOWITZ INEQUALITIES FOR THE TWO-SAMPLE CASE
title DVORETZKY–KIEFER–WOLFOWITZ INEQUALITIES FOR THE TWO-SAMPLE CASE
title_full DVORETZKY–KIEFER–WOLFOWITZ INEQUALITIES FOR THE TWO-SAMPLE CASE
title_fullStr DVORETZKY–KIEFER–WOLFOWITZ INEQUALITIES FOR THE TWO-SAMPLE CASE
title_full_unstemmed DVORETZKY–KIEFER–WOLFOWITZ INEQUALITIES FOR THE TWO-SAMPLE CASE
title_short DVORETZKY–KIEFER–WOLFOWITZ INEQUALITIES FOR THE TWO-SAMPLE CASE
title_sort dvoretzky kiefer wolfowitz inequalities for the two sample case
url http://hdl.handle.net/1721.1/70024
https://orcid.org/0000-0002-6195-4161
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