Tusnady's inequality revisited

dc.creatorCarter, Andrew
dc.creatorPollard, David
dc.date2005-08-30
dc.date.accessioned2026-07-07T08:07:16Z
dc.date.available2026-07-07T08:07:16Z
dc.descriptionTusnady'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.
dc.descriptionPublished at http://dx.doi.org/10.1214/009053604000000733 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0508606
dc.identifierhttp://arxiv.org/abs/math/0508606
dc.identifierAnnals of Statistics 2004, Vol. 32, No. 6, 2731-2741
dc.identifierdoi:10.1214/009053604000000733
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/130885
dc.subjectStatistics Theory
dc.subject62E17 (Primary) 62B15. (Secondary)
dc.titleTusnady's inequality revisited
dc.typetext

Files

Collections