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A Note on the Central Limit Theorems for Dependent Random Variables
Author
Source
ISRN Probability and Statistics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-17
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Classical central limit theorem is considered the heart of probability and statistics theory.
Our interest in this paper is central limit theorems for functions of random variables under mixing conditions.
We impose mixing conditions on the differences between the joint cumulative distribution functions and the product of the marginal cumulative distribution functions.
By using characteristic functions, we obtain several limit theorems extending previous results.
American Psychological Association (APA)
Shang, Yilun. 2012. A Note on the Central Limit Theorems for Dependent Random Variables. ISRN Probability and Statistics،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-453309
Modern Language Association (MLA)
Shang, Yilun. A Note on the Central Limit Theorems for Dependent Random Variables. ISRN Probability and Statistics No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-453309
American Medical Association (AMA)
Shang, Yilun. A Note on the Central Limit Theorems for Dependent Random Variables. ISRN Probability and Statistics. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-453309
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-453309