RUS  ENG
Full version
JOURNALS // Teoriya Veroyatnostei i ee Primeneniya // Archive

Teor. Veroyatnost. i Primenen., 2006 Volume 51, Issue 2, Pages 418–425 (Mi tvp65)

This article is cited in 4 papers

Short Communications

Central limit theorem for certain classes of dependent random variables

M. Kaminski

Oakton Community College

Abstract: Our main interest in this article is the central limit theorem (CLT) for dependent classes of random variables. We computed the exact difference between the characteristic function of the sum of dependent random variables and the characteristic function of the sum of independent random variables of the same distributions. The obtained difference serves for defining the class of dependent random variables such that usual convergence in distribution to the normally distributed random variable holds. The dependency structure, as defined in our class of random variables, can be reflected in some physical phenomena.

Keywords: central limit theorem, dependent random variables.

Received: 06.12.2004

Language: English

DOI: 10.4213/tvp65


 English version:
Theory of Probability and its Applications, 2007, 51:2, 335–342

Bibliographic databases:


© Steklov Math. Inst. of RAS, 2024