On convergence for sequences of pairwise negatively quadrant dependent random variables.
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Publication:464726
DOI10.1007/s10492-014-0067-1zbMath1340.60046OpenAlexW1970858763MaRDI QIDQ464726
Publication date: 29 October 2014
Published in: Applications of Mathematics (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10338.dmlcz/143875
complete convergencecomplete moment convergencepairwise NQD random variablesnegative quadrant dependence
Related Items (4)
On the complete convergence for pairwise negatively quadrant dependent random variables ⋮ The strong convergence properties of weighted sums for a class of dependent random variables ⋮ The moment of maximum normed sums of randomly weighted pairwise NQD sequences ⋮ Convergence in distribution for uncertain random sequences with dependent random variables
Cites Work
- Mean convergence theorems and weak laws of large numbers for weighted sums of dependent random variables
- The strong law of large numbers for pairwise NQD random variables
- Strong convergence of pairwise NQD random sequences
- Some limit theorems for sequences of pairwise NQD random variables
- On the weak laws of large numbers for arrays of random variables
- A note on the almost sure convergence of sums of negatively dependent random variables
- Convergence of Jamison-type weighted sums of pairwise negatively quadrant dependent random variables
- Mean convergence theorems and weak laws of large numbers for weighted sums of random variables under a condition of weighted integrability
- Complete convergence for weighted sums of NA sequences
- Negative association of random variables, with applications
- Some remarks for sequences of pairwise NQD random variables
- ON THE COMPLETE CONVERGENCE FOR WEIGHTED SUMS OF DEPENDENT RANDOM VARIABLES UNDER CONDITION OF WEIGHTED INTEGRABILITY
- WEAK LAWS OF LARGE NUMBERS FOR ARRAYS UNDER A CONDITION OF UNIFORM INTEGRABILITY
- Some Concepts of Dependence
- Complete Convergence and the Law of Large Numbers
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