On the weak laws of large numbers for arrays of random variables
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Publication:1038435
DOI10.1016/J.SPL.2009.08.014zbMath1179.60012OpenAlexW2034828863MaRDI QIDQ1038435
Publication date: 18 November 2009
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2009.08.014
Related Items (7)
Complete moment convergence of weighted sums for arrays of negatively dependent random variables and its applications ⋮ THE CONVERGENCE AND WEAK LAWS OF LARGE NUMBERS FOR -MIXING RANDOM VARIABLES ⋮ On convergence for sequences of pairwise negatively quadrant dependent random variables. ⋮ Strong convergence for weighted sums of arrays of rowwise pairwise NQD random variables ⋮ Complete convergences for arrays of row-wise PNQD random variables ⋮ Weak laws of large numbers for arrays of dependent random variables ⋮ Some Limit Theorems for Arrays of Rowwise Pairwise Negatively Quadratic Dependent Random Variables
Cites Work
- On the weak law of large numbers for arrays
- A martingale inequality and large deviations.
- On the convergence of weighted sums of \(L_q\)-mixingale arrays
- Some Concepts of Dependence
- Some Results on the Complete and Almost Sure Convergence of Linear Combinations of Independent Random Variables and Martingale Differences
- On the $L_p$-Convergence for $n^{-1/p} S_n, 0 < p < 2^1$
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