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Cited by 356

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Asymptotic independence and limit theorems for positively and negatively dependent random variables

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Newman, Charles M.·1984·Institute of Mathematical Statistics Lecture Notes - Monograph Series

Abstract

For random variables which are associated or which exhibit certain related types of positive and negative dependence, the independence structure is largely determined by the covariance structure.We survey results of this sort with particular emphasis on limit theorems for partial sums of stationary sequences.

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Metadata

Authors
Newman, C. M.
Venue
Institute of Mathematical Statistics Lecture Notes - Monograph Series
Published
1984
Pages
127-140
ISSN
0749-2170 (ISSN-L)
OpenAlex
W1509845037
Cited by
356
References
20
FWCI
16.05
Type
book chapter
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Asymptotic independence and limit theorems for positively and negatively dependent random variables. https://app.cochat.ai/papers/10.1214/lnms/1215465639
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Newman, C. M. (1984). Asymptotic independence and limit theorems for positively and negatively dependent random variables. Institute of Mathematical Statistics Lecture Notes - Monograph Series. https://doi.org/10.1214/lnms/1215465639

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