On the Strong Laws for Weighted Sums of [inline-graphic not available: see fulltext]-Mixing Random Variables

被引：0
作者：
Xing-Cai Zhou
Chang-Chun Tan
Jin-Guan Lin
机构：
[1] Southeast University,Department of Mathematics
[2] Tongling University,Department of Mathematics and Computer Science
[3] Heifei University of Technology,School of Mathematics
来源：
Journal of Inequalities and Applications | / 2011卷
关键词：
Real Number; Natural Number; Convergence Result; Standard Computation; Complete Convergence;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Complete convergence is studied for linear statistics that are weighted sums of identically distributed [inline-graphic not available: see fulltext]-mixing random variables under a suitable moment condition. The results obtained generalize and complement some earlier results. A Marcinkiewicz-Zygmund-type strong law is also obtained.
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