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Randomized Generalized Laws of the Iterated Logarithm 

Author: Andreacute Adler a
Affiliation:   a Department of Mathematics, Illinois Institute of Technology, Chicago, Illinois, USA
DOI: 10.1081/SAP-120019285
Publication Frequency: 6 issues per year
Published in: journal Stochastic Analysis and Applications, Volume 21, Issue 2 January 2003 , pages 265 - 279
Formats available: HTML (English) : PDF (English)
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Abstract

We consider independent and identically distributed random variables lcubX,Xn,n≥1rcub with density fX(x)=c(log x)λx-2I(x>1), where λ>-1. Hence EX=∞. We examine which type of random weights lcuban,n≥1rcub that will allow us to establish our generalized one-sided laws of the iterated logarithm for sums of the form 9285ILM0001.gif
Keywords: Almost sure convergence; Convergence in probability; Weak law of large numbers; Generalized one-sided laws of the iterated logarithm
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