Mathematics – Statistics Theory
Scientific paper
2005-08-30
Annals of Statistics 2004, Vol. 32, No. 6, 2731-2741
Mathematics
Statistics Theory
Published at http://dx.doi.org/10.1214/009053604000000733 in the Annals of Statistics (http://www.imstat.org/aos/) by the Inst
Scientific paper
10.1214/009053604000000733
Tusnady's inequality is the key ingredient in the KMT/Hungarian coupling of the empirical distribution function with a Brownian bridge. We present an elementary proof of a result that sharpens the Tusnady inequality, modulo constants. Our method uses the beta integral representation of Binomial tails, simple Taylor expansion and some novel bounds for the ratios of normal tail probabilities.
Carter Andrew
Pollard David
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