On the Strong Convergence and Complete Convergence for Pairwise NQD Random Variables

Joint Authors

Zhang, Ying
Volodin, Andrei
Shen, Aiting

Source

Abstract and Applied Analysis

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-05-07

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Mathematics

Abstract EN

Let an,n≥1 be a sequence of positive constants with an/n↑ and let X,Xn,n≥1 be a sequence of pairwise negatively quadrant dependent random variables.

The complete convergence for pairwise negatively quadrant dependent random variables is studied under mild condition.

In addition, the strong laws of large numbers for identically distributed pairwise negatively quadrant dependent random variables are established, which are equivalent to the mild condition ∑n=1∞PX>an<∞.

Our results obtained in the paper generalize the corresponding ones for pairwiseindependent and identically distributed random variables.

American Psychological Association (APA)

Shen, Aiting& Zhang, Ying& Volodin, Andrei. 2014. On the Strong Convergence and Complete Convergence for Pairwise NQD Random Variables. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1034123

Modern Language Association (MLA)

Shen, Aiting…[et al.]. On the Strong Convergence and Complete Convergence for Pairwise NQD Random Variables. Abstract and Applied Analysis No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1034123

American Medical Association (AMA)

Shen, Aiting& Zhang, Ying& Volodin, Andrei. On the Strong Convergence and Complete Convergence for Pairwise NQD Random Variables. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1034123

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1034123