STRONG LAWS OF LARGE NUMBERS FOR WEIGHTED SUMS OF NEGATIVELY DEPENDENT RANDOM VARIABLES
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Publication:3420201
DOI10.4134/JKMS.2006.43.6.1325zbMath1108.60020MaRDI QIDQ3420201
Kwang-Hee Han, Mi-Hwa Ko, Tae-Sung Kim
Publication date: 1 February 2007
Published in: Journal of the Korean Mathematical Society (Search for Journal in Brave)
Related Items (11)
Complete moment convergence of weighted sums for arrays of negatively dependent random variables and its applications ⋮ Strong laws of large numbers for weighted sums of extended negatively dependent random variables under sub-linear expectations ⋮ An exponential inequality for a NOD sequence and a strong law of large numbers ⋮ Equivalent conditions of complete convergence for weighted sums of sequences of negatively dependent random variables ⋮ Unnamed Item ⋮ Complete moment convergence and mean convergence for arrays of rowwise extended negatively dependent random variables ⋮ Complete convergence for negatively orthant dependent random variables ⋮ Complete moment convergence for maximal partial sums under NOD setup ⋮ Convergence properties of partial sums for arrays of rowwise negatively orthant dependent random variables ⋮ On the complete convergence for weighted sums of extended negatively dependent random variables ⋮ Limiting behaviour for arrays of row-wise END random variables under conditions of h-integrability
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