Chover's law of the iterated logarithm for negatively associated sequences
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Publication:601892
DOI10.1007/s11424-010-7258-yzbMath1205.60069OpenAlexW2067354276MaRDI QIDQ601892
Publication date: 29 October 2010
Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11424-010-7258-y
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Cites Work
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- Chover's law of the iterated logarithm and weak convergence
- A note on the almost sure convergence of sums of negatively dependent random variables
- A comparison theorem on moment inequalities between negatively associated and independent random variables
- Negative association of random variables, with applications
- Strong consistency of \(M\) estimator in linear model for negatively associated samples
- A Law of the Iterated Logarithm for Stable Summands
- Regularly varying functions