Convergence properties for weighted sums of NSD random variables
From MaRDI portal
Publication:2811444
DOI10.1080/03610926.2014.881492zbMath1339.60023OpenAlexW2318856760MaRDI QIDQ2811444
Huayan Zhu, Xinghui Wang, Aiting Shen
Publication date: 10 June 2016
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2014.881492
complete convergenceweighted sumsnegatively superadditive dependent random variablesMarcinkiewicz-Zygmund strong law of large numbers
Related Items
Complete moment convergence for double-indexed randomly weighted sums and its applications ⋮ Probability inequalities for sums of NSD random variables and applications ⋮ Strong and weak consistency of LS estimators in the EV regression model with negatively superadditive-dependent errors ⋮ The laws of large numbers for Pareto-type random variables with infinite means
Cites Work
- A note on the complete convergence for arrays of dependent random variables
- Strong laws for weighted sums of NA random variables
- On the strong convergence for weighted sums of random variables
- On the Kolmogorov inequalities for quadratic forms of dependent uniformly bounded random variables
- An exponential inequality for a NOD sequence and a strong law of large numbers
- Some strong limit theorems for \(\tilde \rho\)-mixing sequences of random variables
- Strong limit theorems for weighted sums of negatively associated random variables
- Some maximal inequalities for quadratic forms of negative superadditive dependence random variables
- A remark on almost sure convergence of weighted sums
- Complete convergence and almost sure convergence of weighted sums of random variables
- A connection between supermodular ordering and positive/negative association.
- A comparison theorem on moment inequalities between negatively associated and independent random variables
- Negative association of random variables, with applications
- A strong law for weighted sums of i.i.d. random variables
- Complete convergence for arrays of rowwise negatively orthant dependent random variables
- Almost sure convergence theorem and strong stability for weighted sums of NSD random variables
- Marcinkiewicz strong laws for linear statistics
- On limiting behavior for arrays of rowwise negatively orthant dependent random variables
- STRONG LIMIT THEOREMS FOR WEIGHTED SUMS OF NOD SEQUENCE AND EXPONENTIAL INEQUALITIES
- Some Convergence Theorems for Independent Random Variables