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Teoriya Veroyatnostei i ee Primeneniya, 2006, Volume 51, Issue 2, Pages 418–425
DOI: https://doi.org/10.4213/tvp65
(Mi tvp65)
 

This article is cited in 4 scientific papers (total in 4 papers)

Short Communications

Central limit theorem for certain classes of dependent random variables

M. Kaminski

Oakton Community College
Full-text PDF (789 kB) Citations (4)
References:
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
English version:
Theory of Probability and its Applications, 2007, Volume 51, Issue 2, Pages 335–342
DOI: https://doi.org/10.1137/S0040585X97982396
Bibliographic databases:
Document Type: Article
Language: English
Citation: M. Kaminski, “Central limit theorem for certain classes of dependent random variables”, Teor. Veroyatnost. i Primenen., 51:2 (2006), 418–425; Theory Probab. Appl., 51:2 (2007), 335–342
Citation in format AMSBIB
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  • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Теория вероятностей и ее применения Theory of Probability and its Applications
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