A Sharp Abelian Theorem for the Laplace Transform
Maëva Biret (),
Michel Broniatowski () and
Zansheng Cao ()
Additional contact information
Maëva Biret: Snecma Villaroche
Michel Broniatowski: Université Pierre et Marie Curie, LSTA
Zansheng Cao: Université de Strasbourg, IRMA
A chapter in Mathematical Statistics and Limit Theorems, 2015, pp 67-92 from Springer
Abstract:
Abstract This paper states asymptotic equivalents for the moments of the Esscher transform of a distribution on $$\mathbb {R}$$ R with smooth density in the upper tail. As a by-product it provides a tail approximation for its moment generating function, and shows that the Esscher transforms have a Gaussian behavior for large values of the parameter.
Keywords: Tail Approximation; Gaussian Behavior; Assumed Regularity Conditions; Tilted Density; Abelian-type Theorem (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:sprchp:978-3-319-12442-1_5
Ordering information: This item can be ordered from
http://www.springer.com/9783319124421
DOI: 10.1007/978-3-319-12442-1_5
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().