Convergence of the tail probability for weighted sums of negatively orthant dependent random variables

Title:

Convergence of the tail probability for weighted sums of negatively orthant dependent random variables

Creator:

Huang, Haiwu, Li, Linyan, and u, Xuewen

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:aacc5d65-08a8-4b27-969c-333d95cc51d3
uuid:aacc5d65-08a8-4b27-969c-333d95cc51d3
doi:10.14736/kyb-2020-4-0646

Subject:

strong convergence, negatively orthant dependent random variables, and the tail probability

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

In this research, strong convergence properties of the tail probability for weighted sums of negatively orthant dependent random variables are discussed. Some sharp theorems for weighted sums of arrays of rowwise negatively orthant dependent random variables are established. These results not only extend the corresponding ones of Cai \cite{4}, Wang et al. \cite{19} and Shen \cite{13}, but also improve them, respectively.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Coverage:

646-661

Source:

Kybernetika | 2020 Volume:56 | Number:4

Harvested from:

CDK

Metadata only:

false