Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/27696
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dc.contributor.authorBERCKMOES, Ben-
dc.contributor.authorMOLENBERGHS, Geert-
dc.date.accessioned2019-02-11T11:08:38Z-
dc.date.available2019-02-11T11:08:38Z-
dc.date.issued2018-
dc.identifier.citationJOURNAL OF THEORETICAL PROBABILITY, 31(3), p. 1590-1605-
dc.identifier.issn0894-9840-
dc.identifier.urihttp://hdl.handle.net/1942/27696-
dc.description.abstractWe refine the classical Lindeberg-Feller central limit theorem by obtaining asymptotic bounds on the Kolmogorov distance, the Wasserstein distance, and the parameterized Prokhorov distances in terms of a Lindeberg index. We thus obtain more general approximate central limit theorems, which roughly state that the row-wise sums of a triangular array are approximately asymptotically normal if the array approximately satisfies Lindeberg's condition. This allows us to continue to provide information in nonstandard settings in which the classical central limit theorem fails to hold. Stein's method plays a key role in the development of this theory.-
dc.description.sponsorshipBen Berckmoes is postdoctoral fellow at the Fund for Scientific Research of Flanders (FWO). Geert Molenberghs gratefully acknowledges financial support from the IAP research network # P7/06 of the Belgian Government (Belgian Science Policy).-
dc.language.isoen-
dc.publisherSPRINGER/PLENUM PUBLISHERS-
dc.subject.otherKolmogorov metric; Lindeberg-Feller central limit theorem; Lindeberg index; Prokhorov metric; Stein's method; Wasserstein metric-
dc.subject.otherKolmogorov metric; Lindeberg–Feller central limit theorem; Lindeberg index; Prokhorov metric; Stein’s method; Wasserstein metric-
dc.titleApproximate Central Limit Theorems-
dc.typeJournal Contribution-
dc.identifier.epage1605-
dc.identifier.issue3-
dc.identifier.spage1590-
dc.identifier.volume31-
local.format.pages16-
local.bibliographicCitation.jcatA1-
dc.description.notes[Berckmoes, Ben] Univ Antwerp, Antwerp, Belgium. [Molenberghs, Geert] Univ Hasselt, Hasselt, Belgium. [Molenberghs, Geert] Katholieke Univ Leuven, Leuven, Belgium.-
local.publisher.placeNEW YORK-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.identifier.doi10.1007/s10959-017-0744-6-
dc.identifier.isi000441304800012-
item.fullcitationBERCKMOES, Ben & MOLENBERGHS, Geert (2018) Approximate Central Limit Theorems. In: JOURNAL OF THEORETICAL PROBABILITY, 31(3), p. 1590-1605.-
item.fulltextWith Fulltext-
item.validationecoom 2019-
item.contributorBERCKMOES, Ben-
item.contributorMOLENBERGHS, Geert-
item.accessRightsOpen Access-
crisitem.journal.issn0894-9840-
crisitem.journal.eissn1572-9230-
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