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Strong convergence for weighted sums of negatively superadditive dependent random variables

  • School of Mathematical Sciences, Anhui University, Hefei 230601, China

Cite this: JUSTC, 2015, 45(2): 101-106
https://doi.org/10.3969/j.issn.0253-2778.2015.02.002
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  • Received Date: June 29, 2014
  • Revised Date: October 16, 2014
  • Published Date: February 27, 2015
    Abstract
  • Some results on the complete convergence for sequences of negatively superadditive dependent (NSD) random variables were obtained by using the Marcinkiewicz-Zygmund type moment inequality, Kolmogorov type exponential inequality and the truncated method. The obtained results extend the corresponding conclusions for weighted sums of negatively associated (NA) random variables with identical distribution to the case of sequences of NSD random variables with nonidentical distribution.
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