Convergence Theorems for -Coordinatewise Negatively Associated Random Vectors in Hilbert Spaces
Author(s) -
Lyurong Shi
Publication year - 2021
Publication title -
complexity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.447
H-Index - 61
eISSN - 1099-0526
pISSN - 1076-2787
DOI - 10.1155/2021/3462317
Subject(s) - convergence (economics) , hilbert space , mathematics , weak convergence , law of large numbers , discrete mathematics , combinatorics , random variable , pure mathematics , statistics , computer science , computer security , economics , asset (computer security) , economic growth
In this study, some new results on convergence properties for m -coordinatewise negatively associated random vectors in Hilbert space are investigated. The weak law of large numbers, strong law of large numbers, complete convergence, and complete moment convergence for linear process of H-valued m -coordinatewise negatively associated random vectors with random coefficients are established. These results improve and generalise some corresponding ones in the literature.
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