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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:
In spite of the fact that the tail -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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