Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/230753
Authors: 
Yan, Ji Gao
Year of Publication: 
2018
Series/Report no.: 
IRTG 1792 Discussion Paper No. 2018-042
Abstract: 
In this paper, the complete convergence for maximal weighted sums of extended negatively dependent (END, for short) random variables is investigated. Some sucient conditions for the complete convergence and some applications to a nonparametric model are provided. The results obtained in the paper generalise and improve the corresponding ones of Wang el al. (2014b) and Shen, Xue, and Wang (2017).
Subjects: 
Complete convergence
Maximal weighted sums
Extended negatively dependent
JEL: 
C00
Document Type: 
Working Paper

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