On Complete Convergence in Marcinkiewicz-Zygmund Type SLLN for END Random Variables and Its Applications

Jigao Yan

Communications in Statistics - Theory and Methods, 2019, vol. 48, issue 20, 5074-5098

Abstract: In this paper, the complete convergence for maximal weighted sums of extended negatively dependent (END, for short) random variables is investigated. Some sufficient conditions for the complete convergence and some applications to a nonparametric model are provided. The results obtained in the paper generalize and improve the corresponding ones of Wang et al. (2014b) and Shen, Xue, and Wang (2017).

Date: 2019
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DOI: 10.1080/03610926.2018.1508709

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