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Strong Approximation Theorems for Independent Random Variables and Their Applications

โœ Scribed by Q.M. Shao

Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
592 KB
Volume
52
Category
Article
ISSN
0047-259X

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โœฆ Synopsis

This paper provides an elementary way to establish the general strong approximation theorems for independent random variables by using two special results of Sakhanenko. Applications to the law of the iterated logarithm and the strong law of large numbers are discussed. D1 1995 Academic Press, Inc.

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