A Note on the Tail Behavior of Randomly Weighted Sums with Convolution-Equivalently Distributed Random Variables

Joint Authors

Yang, Yang
Liu, Jun-feng
Zhang, Yu-lin

Source

Abstract and Applied Analysis

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-4, 4 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-12-05

Country of Publication

Egypt

No. of Pages

4

Main Subjects

Mathematics

Abstract EN

We investigate the tailed asymptotic behavior of the randomly weighted sums with increments with convolution-equivalent distributions.

Our obtained result can be directly applied to a discrete-time insurance risk model with insurance and financial risks and derive the asymptotics for the finite-time probability of the above risk model.

American Psychological Association (APA)

Yang, Yang& Liu, Jun-feng& Zhang, Yu-lin. 2013. A Note on the Tail Behavior of Randomly Weighted Sums with Convolution-Equivalently Distributed Random Variables. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-4.
https://search.emarefa.net/detail/BIM-459363

Modern Language Association (MLA)

Yang, Yang…[et al.]. A Note on the Tail Behavior of Randomly Weighted Sums with Convolution-Equivalently Distributed Random Variables. Abstract and Applied Analysis No. 2013 (2013), pp.1-4.
https://search.emarefa.net/detail/BIM-459363

American Medical Association (AMA)

Yang, Yang& Liu, Jun-feng& Zhang, Yu-lin. A Note on the Tail Behavior of Randomly Weighted Sums with Convolution-Equivalently Distributed Random Variables. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-4.
https://search.emarefa.net/detail/BIM-459363

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-459363