Equivalent Conditions of Complete Convergence for Weighted Sums of Sequences of Negatively Dependent Random Variables

Author

Guo, Ming Le

Source

Abstract and Applied Analysis

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-11-10

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Mathematics

Abstract EN

The complete convergence for weighted sums of sequences of negatively dependent random variables is investigated.

By applying moment inequality and truncation methods, the equivalent conditions of complete convergence for weighted sums of sequences of negatively dependent random variables are established.

These results not only extend the corresponding results obtained by Li et al.

(1995), Gut (1993), and Liang (2000) to sequences of negatively dependent random variables, but also improve them.

American Psychological Association (APA)

Guo, Ming Le. 2012. Equivalent Conditions of Complete Convergence for Weighted Sums of Sequences of Negatively Dependent Random Variables. Abstract and Applied Analysis،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-471232

Modern Language Association (MLA)

Guo, Ming Le. Equivalent Conditions of Complete Convergence for Weighted Sums of Sequences of Negatively Dependent Random Variables. Abstract and Applied Analysis No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-471232

American Medical Association (AMA)

Guo, Ming Le. Equivalent Conditions of Complete Convergence for Weighted Sums of Sequences of Negatively Dependent Random Variables. Abstract and Applied Analysis. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-471232

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-471232