Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/27696
Title: Approximate Central Limit Theorems
Authors: BERCKMOES, Ben 
MOLENBERGHS, Geert 
Issue Date: 2018
Publisher: SPRINGER/PLENUM PUBLISHERS
Source: JOURNAL OF THEORETICAL PROBABILITY, 31(3), p. 1590-1605
Abstract: We 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.
Notes: [Berckmoes, Ben] Univ Antwerp, Antwerp, Belgium. [Molenberghs, Geert] Univ Hasselt, Hasselt, Belgium. [Molenberghs, Geert] Katholieke Univ Leuven, Leuven, Belgium.
Keywords: Kolmogorov metric; Lindeberg–Feller central limit theorem; Lindeberg index; Prokhorov metric; Stein’s method; Wasserstein metric;Kolmogorov metric; Lindeberg-Feller central limit theorem; Lindeberg index; Prokhorov metric; Stein's method; Wasserstein metric
Document URI: http://hdl.handle.net/1942/27696
ISSN: 0894-9840
e-ISSN: 1572-9230
DOI: 10.1007/s10959-017-0744-6
ISI #: 000441304800012
Category: A1
Type: Journal Contribution
Validations: ecoom 2019
Appears in Collections:Research publications

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