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Title: Complete convergence theorems for normed row sums from an array of rowwise pairwise negative quadrant dependent random variables with application to the dependent bootstrap (English)
Author: Rosalsky, Andrew
Author: Wu, Yongfeng
Language: English
Journal: Applications of Mathematics
ISSN: 0862-7940 (print)
ISSN: 1572-9109 (online)
Volume: 60
Issue: 3
Year: 2015
Pages: 251-263
Summary lang: English
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Category: math
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Summary: Let $\{X_{n,j}, 1\leq j\leq m(n), n\geq 1\}$ be an array of rowwise pairwise negative quadrant dependent mean 0 random variables and let $0<b_n\rightarrow \infty $. Conditions are given for $\sum \nolimits _{j=1}^{m(n)}X_{n,j}/b_n\rightarrow 0$ completely and for $\max \nolimits _{1\leq k\leq m(n)}\Bigl |\sum \nolimits _{j=1}^kX_{n,j}\Big |/b_n\rightarrow 0$ completely. As an application of these results, we obtain a complete convergence theorem for the row sums $\sum \nolimits _{j=1}^{m(n)}X_{n,j}^*$ of the dependent bootstrap samples $\{\{X_{n,j}^*, 1\leq j\leq m(n)\}, n\geq 1\}$ arising from a sequence of i.i.d.\ random variables $\{X_n, n\geq 1\}$. (English)
Keyword: array of rowwise pairwise negative quadrant dependent random variables
Keyword: complete convergence
Keyword: dependent bootstrap
Keyword: sequence of i.i.d.\ random variables
MSC: 60F15
MSC: 62F40
MSC: 62G09
idZBL: Zbl 06486910
idMR: MR3419961
DOI: 10.1007/s10492-015-0094-6
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Date available: 2015-05-15T07:36:25Z
Last updated: 2020-07-02
Stable URL: http://hdl.handle.net/10338.dmlcz/144262
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