| Title: | Some mean convergence and complete convergence theorems for sequences of $m$-linearly negative quadrant dependent random variables (English) | 
| Author: | Wu, Yongfeng | 
| Author: | Rosalsky, Andrew | 
| Author: | Volodin, Andrei | 
| Language: | English | 
| Journal: | Applications of Mathematics | 
| ISSN: | 0862-7940 (print) | 
| ISSN: | 1572-9109 (online) | 
| Volume: | 58 | 
| Issue: | 5 | 
| Year: | 2013 | 
| Pages: | 511-529 | 
| Summary lang: | English | 
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| Category: | math | 
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| Summary: | The structure of linearly negative quadrant dependent random variables is extended by introducing the structure of $m$-linearly negative quadrant dependent random variables ($m=1,2,\dots $). For a sequence of $m$-linearly negative quadrant dependent random variables $\{X_n, n\ge 1\}$ and $1<p<2$ (resp. $1\le p <2$), conditions are provided under which $n^{-1/p} \sum _{k=1}^{n} (X_k - EX_k) \to 0$ in $L^1$ (resp. in $L^p$). Moreover, for $1\le p < 2$, conditions are provided under which $n^{-1/p} \sum _{k=1}^{n} (X_k - EX_k)$ converges completely to $0$. The current work extends some results of Pyke and Root (1968) and it extends and improves some results of Wu, Wang, and Wu (2006). An open problem is posed. (English) | 
| Keyword: | $m$-linearly negative quadrant dependence | 
| Keyword: | mean convergence | 
| Keyword: | complete convergence | 
| MSC: | 60F15 | 
| MSC: | 60F25 | 
| idZBL: | Zbl 06282094 | 
| idMR: | MR3104616 | 
| DOI: | 10.1007/s10492-013-0030-6 | 
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| Date available: | 2013-09-14T11:40:52Z | 
| Last updated: | 2020-07-02 | 
| Stable URL: | http://hdl.handle.net/10338.dmlcz/143430 | 
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