Equivalent conditions of the complete convergence for weighted sums of NSD random variables
From MaRDI portal
Publication:5076928
DOI10.1080/03610926.2018.1500601OpenAlexW2896649002WikidataQ129117534 ScholiaQ129117534MaRDI QIDQ5076928
Qingxia Zhang, Haiwu Huang, Hang Zou
Publication date: 17 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2018.1500601
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Complete moment convergence and complete convergence for weighted sums of NSD random variables
- On the Kolmogorov inequalities for quadratic forms of dependent uniformly bounded random variables
- Some maximal inequalities for quadratic forms of negative superadditive dependence random variables
- A connection between supermodular ordering and positive/negative association.
- On the rate of complete convergence for weighted sums of NSD random variables and an application
- Strong laws of large numbers for weighted sums of random elements in normed linear spaces
- Negative association of random variables, with applications
- Almost sure convergence theorem and strong stability for weighted sums of NSD random variables
- On the strong convergence and some inequalities for negatively superadditive dependent sequences
- Complete moment convergence of moving average processes under \(\varphi \)-mixing assumptions
- Strong and weak consistency of LS estimators in the EV regression model with negatively superadditive-dependent errors
- Complete moment convergence for weighted sums of negatively superadditive dependent random variables
- Applications of the Rosenthal-type inequality for negatively superadditive dependent random variables
- Complete convergence for weighted sums of NSD random variables and its application in the EV regression model
- Complete convergence for arrays of row-wise negatively superadditive-dependent random variables and its applications
- Complete moment convergence for arrays of rowwise NSD random variables
- Complete convergence for arrays of rowwise negatively superadditive-dependent random variables and its applications
- Some general strong laws for weighted sums of stochastically dominated random variables
- Complete convergence and complete moment convergence for arrays of rowwise negatively superadditive dependent random variables
- ON COMPLETE CONVERGENCE AND COMPLETE MOMENT CONVERGENCE FOR A CLASS OF RANDOM VARIABLES
- Convergence Rates in the Law of Large Numbers
- Kaplan–Meier estimator and hazard estimator for censored negatively superadditive dependent data
- Complete Convergence and the Law of Large Numbers
- On a Theorem of Hsu and Robbins
This page was built for publication: Equivalent conditions of the complete convergence for weighted sums of NSD random variables