Lower bounds of large deviation for sums of long-tailed claims in a multi-risk model
Dawei Lu
Statistics & Probability Letters, 2012, vol. 82, issue 7, 1242-1250
Abstract:
In view of the actual condition of the insurance company, a multi-risk model is proposed. The lower bound for the sums of long-tailed claims in this model is given. The proof method is based on the results of precise large deviation for long-tailed distributions.
Keywords: Large deviation; Long-tailed class; Multi-risk model (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715212001137
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:82:y:2012:i:7:p:1242-1250
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.spl.2012.03.020
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().