Strong law of large numbers and complete convergence for non-identically distributed WOD random variables

Xiaodong Bai, Qingjian Zhou and Zhiqiang Hua

Communications in Statistics - Theory and Methods, 2019, vol. 48, issue 11, 2687-2699

Abstract: In this paper, we establish the strong law of large numbers and complete convergence for non-identically distributed WOD random variables. We derive some new inequalities of Fuk–Nagaev type for the sums of non-identically distributed WD random variables. All these results further extend and refine previous ones.

Date: 2019
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DOI: 10.1080/03610926.2018.1472787

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