The Strong Laws of Large Numbers for Weighted Averages of Dependent Random Variables |
Kim, Tae-Sung
(Division of Mathematics & Informational Statistics & Institute of Basic Natural Science Wonkwang University)
Lee, Il-Hyun (Division of Mathematics & Informational Statistics Wonkwang University) Ko, Mi-Hwa (Division of Mathematics & Informational Statistics Wonkwang University) |
1 |
The strong law of large number for weighted averages under dependence assumptions
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DOI ScienceOn |
2 |
A note on the strong laws of large number for positively dependent random variables
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3 |
Association of random variables with applications
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DOI ScienceOn |
4 |
A note on the almost sure convergence of sums of negatively dependent random variables
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DOI ScienceOn |
5 |
Negative association of random variables with applications
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DOI ScienceOn |
6 |
Associated random variables and martingale inequalities
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DOI |
7 |
Convergence of weighted averages of associated random variables
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8 |
Asymptotic independence and limit theorems for positively and negatively dependent random variables
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9 |
Maximal inequalities for demimartingales and a strong law of large numbers
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DOI ScienceOn |
10 |
On the almost sure central limit theorem for associated random variables
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11 |
The Haject-Renyi inequality for the NA random variables and its application
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DOI ScienceOn |