![Sample our Mathematics & Statistics journals, sign in here to start your FREE access for 14 days]({"type":"image" , "src" : "/sda/5943/TOC-Subject-Sample-2021-Mathematics-Statistics.jpg"})
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.
Acknowledgements
The authors would like to thank the anonymous referees for their valuable suggestion and helpful comments which greatly improved the earlier version of this article.
Additional information
Funding
This research was supported by Nature Science Foundation of Liaoning Province (No. 201602188), Research Foundation for Doctor of Dalian Minzu University (No. 110066), Doctor Support Fund of Liaoning Province (No. 201601088) and Nature Science Foundation of Inner Mongolia Autonomous Region (No. 2017MS(LH)0106).