首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Mean convergence theorems and weak laws of large numbers for weighted sums of dependent random variables
Authors:Yongfeng Wu
Institution:a Department of Mathematics and Computer Science, Tongling University, Tongling 244000, China
b Department of Mathematics and Physics, Hefei University, Hefei 230022, China
Abstract:Under some conditions of uniform integrability and appropriate conditions, mean convergence theorems and weak laws of large numbers for weighted sums of dependent random variables are obtained. Our results extend and improve the results of H.S. Sung, S. Lisawadi, A. Volodin, Weak laws of large numbers for arrays under a condition of uniform integrability, J. Korean Math. Soc. 45 (2008) 289-300] and M. Ordóñez Cabrera, A. Volodin, Mean convergence theorems and weak laws of large numbers for weighted sums of random variables under a condition of weighted integrability, J. Math. Anal. Appl. 305 (2005) 644-658].
Keywords:Mean convergence  Weak laws of large numbers  Uniform integrability  Negative quadrant dependent  Linearly negative quadrant dependent
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号