首页> 外文期刊>Stochastics: An International Journal of Probability and Stochastic Processes >Complete moment convergence of pairwise NQD random variables
【24h】

Complete moment convergence of pairwise NQD random variables

机译:两两NQD随机变量的完全矩收敛

获取原文
获取原文并翻译 | 示例
           

摘要

It is known that the dependence structure of pairwise negative quadrant dependent (NQD) random variables is weaker than those of negatively associated random variables and negatively orthant dependent random variables. In this article, we investigate the moving average process which is based on the pairwise NQD random variables. The complete moment convergence and the integrability of the supremum are presented for this moving average process. The results imply complete convergence and the Marcinkiewicz-Zygmund-type strong law of large numbers for pairwise NQD sequences.
机译:众所周知,成对负象限相关(NQD)随机变量的依赖性结构比负相关随机变量和负正态相关随机变量的依赖性弱。在本文中,我们研究了基于成对NQD随机变量的移动平均过程。为此移动平均过程提供了完整的矩收敛和极值的可积性。结果表明成对的NQD序列具有完全收敛性和Marcinkiewicz-Zygmund型强数定律。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号