scientific article; zbMATH DE number 7377405
From MaRDI portal
Publication:5004594
Sujitta Suraphee, Yanchun Yi, Andrei I. Volodin, Haiwu Huang
Publication date: 2 August 2021
Full work available at URL: https://ph02.tci-thaijo.org/index.php/thaistat/article/view/243850
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
complete convergence\(L_q\) convergencearrays of rowwise extended negatively dependent random variablescomplete \(q\)th moment convergence
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Probability inequalities for END sequence and their applications
- Extended precise large deviations of random sums in the presence of END structure and consistent variation
- Complete moment convergence and mean convergence for arrays of rowwise extended negatively dependent random variables
- Necessary and sufficient conditions for moderate deviations of dependent random variables with heavy tails
- Precise large deviations for dependent random variables with heavy tails
- On the strong law for arrays and for the bootstrap mean and variance
- Complete convergence for negatively dependent random variables
- Negative association of random variables, with applications
- Precise large deviations for random sums of END real-valued random variables with consistent variation
- Complete \(f\)-moment convergence for extended negatively dependent random variables
- Complete convergence theorems for extended negatively dependent random variables
- Convergence properties of partial sums for arrays of rowwise negatively orthant dependent random variables
- Complete Convergence for Weighted Sums and Arrays of Rowwise Extended Negatively Dependent Random Variables
- On Complete Convergence for an Extended Negatively Dependent Sequence
- On the Strong Rates of Convergence for Arrays of Rowwise Negatively Dependent Random Variables
- The Strong Law of Large Numbers for Extended Negatively Dependent Random Variables
- STRONG LAWS OF LARGE NUMBERS FOR WEIGHTED SUMS OF NEGATIVELY DEPENDENT RANDOM VARIABLES
- CONVERGENCE PROPERTIES OF THE PARTIAL SUMS FOR SEQUENCES OF END RANDOM VARIABLES
- Complete consistency for the estimator of nonparametric regression models based on extended negatively dependent errors
- On complete convergence of weighted sums for arrays of rowwise extended negatively dependent random variables
- Complete convergence and complete moment convergence for arrays of rowwise END random variables
- Some Concepts of Dependence
- ALMOST SURE CONVERGENCE FOR WEIGHTED SUMS OF NEGATIVELY ORTHANT DEPENDENT RANDOM VARIABLES
- Complete Convergence and the Law of Large Numbers
