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  • 标题:A Note on the Central Limit Theorems for Dependent Random Variables
  • 本地全文:下载
  • 作者:Yilun Shang
  • 期刊名称:ISRN Probability and Statistics
  • 电子版ISSN:2090-472X
  • 出版年度:2012
  • 卷号:2012
  • DOI:10.5402/2012/192427
  • 出版社:Hindawi Publishing Corporation
  • 摘要: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.
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