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Mean convergence theorems and weak laws of large numbers for weighted sums of dependent random variables

机译:相依随机变量加权和的均值收敛定理和弱大数定律

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摘要

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. Ordó?ez 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].
机译:在一致可积性和适当条件下的某些条件下,获得了因变量随机加权和的均值收敛定理和弱大数定律。我们的结果扩展并改善了[H.S. Sung,S. Lisawadi,A. Volodin,在均匀可积性条件下数组的弱定律,J。韩国数学。 Soc。 45(2008)289-300]和[M. Ordó?ez Cabrera,A。Volodin,加权可积性条件下随机变量的加权和的均值收敛定理和弱大数定律,J。Math。肛门应用305(2005)644-658]。

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