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Proceedings of the American Mathematical Society
Proceedings of the American Mathematical Society
ISSN 1088-6826(e) ISSN 0002-9939(p)

     

Convergence of sequences of pairwise independent random variables

Author(s): N. Etemadi; A. Lenzhen
Journal: Proc. Amer. Math. Soc. 132 (2004), 1201-1202.
MSC (2000): Primary 60F15
Posted: September 11, 2003
MathSciNet review: 2045438
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Abstract | References | Similar articles | Additional information

Abstract: In spite of the fact that the tail $\sigma$-algebra of a sequence of pairwise independent random variables may not be trivial, we have discovered that if such a sequence converges in probability or almost everywhere, then the limit has to be a constant. This enables us to provide necessary and sufficient conditions for its convergence, in terms of its marginal distribution functions.


References:

1.
Chung, K. L., A course in probability theory. 2nd edition, Academic Press, 1974. MR 49:11579

2.
Robertson, J. B. and Womack, J. M. (1985), A pairwise independent stationary stochastic process. Statist. Probab. Lett. 3, 195-199. MR 87d:60040


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Additional Information:

N. Etemadi
Affiliation: Department of Mathematics, Statistics, and Computer Science (M/C 249), 322 Science and Engineering Offices, 851 South Morgan Street, Chicago, Illinois 60607-7045
Email: etemadi@uic.edu

A. Lenzhen
Affiliation: Department of Mathematics, Statistics, and Computer Science (M/C 249), 322 Science and Engineering Offices, 851 South Morgan Street, Chicago, Illinois 60607-7045
Email: lenzhen@math.uic.edu

DOI: 10.1090/S0002-9939-03-07236-8
PII: S 0002-9939(03)07236-8
Keywords: Limit theorems, pairwise independence
Received by editor(s): September 26, 2002
Received by editor(s) in revised form: November 18, 2002
Posted: September 11, 2003
Communicated by: Richard C. Bradley
Copyright of article: Copyright 2003, American Mathematical Society




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