Institute of Mathematical Statistics Lecture Notes - Monograph Series

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

Charles M. Newman

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Chapter information

Source
Y. L. Tong, ed. Inequalities in Statistics and Probability: Proceedings of the Symposium on Inequalities in Statistics and Probability (Hayward, California, USA: Institute of Mathematical Statistics, 1984), 127-140

Dates
First available in Project Euclid: 7 July 2008

Permanent link to this document
http://projecteuclid.org/euclid.lnms/1215465639

Mathematical Reviews number (MathSciNet)
MR789244

Digital Object Identifier
doi:10.1214/lnms/1215465639

Subjects
Primary: 60F05: Central limit and other weak theorems
Secondary: 60E15: Inequalities; stochastic orderings 62H05: Characterization and structure theory 62H20: Measures of association (correlation, canonical correlation, etc.)

Citation

Newman, Charles M. Asymptotic independence and limit theorems for positively and negatively dependent random variables. Inequalities in Statistics and Probability, 127--140, Institute of Mathematical Statistics, Hayward, CA, 1984. doi:10.1214/lnms/1215465639. http://projecteuclid.org/euclid.lnms/1215465639.


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Subjects

Primary 60F05

Secondary 60E15 62H05 62H20