@Article{JMS-52-30,
author = {Sun , XiangLiu , Zhao-YangShen , Yan and Zhang , Ke-Chao},
title = {On Complete Moment Convergence for Randomly Weighted Sums of NSD Random Variables},
journal = {Journal of Mathematical Study},
year = {2019},
volume = {52},
number = {1},
pages = {30--37},
abstract = {<p style="text-align: justify;">In this paper, we investigate the complete moment convergence and complete convergence for randomly weighted sums of negatively superadditive dependent (NSD, in short) random variables. The results obtained in the paper generalize
the convergence theorem for constant weighted sums to randomly weighted sums of
dependent random variables. In addition, strong law of large numbers for NSD sequence is obtained.</p>},
issn = {2617-8702},
doi = {https://doi.org/10.4208/jms.v52n1.19.03},
url = {http://global-sci.org/intro/article_detail/jms/13046.html}
}