Complete Moment Convergence and Mean Convergence for Arrays of Rowwise Extended Negatively Dependent Random Variables
Copyright policy )Complete Moment Convergence and Mean Convergence for Arrays of Rowwise Extended Negatively Dependent Random Variables
The authors first present a Rosenthal inequality for sequence of extended negatively dependent (END) random variables. By means of the Rosenthal inequality, the authors obtain some complete moment convergence and mean convergence results for arrays of rowwise END random variables. The results in this paper extend and improve the corresponding theorems by Hu and Taylor (1997).
- Tongling University China (People's Republic of)
Technology, Analysis of Variance, Strong limit theorems, T, Science, Q, R, Mathematical Concepts, Nonlinear Dynamics, Medicine, Limit theorems for vector-valued random variables (infinite-dimensional case), Mathematical Computing, Research Article
Technology, Analysis of Variance, Strong limit theorems, T, Science, Q, R, Mathematical Concepts, Nonlinear Dynamics, Medicine, Limit theorems for vector-valued random variables (infinite-dimensional case), Mathematical Computing, Research Article
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