A Characteristic Martingale Related to the Counting Process of Records
Raúl Gouet (),
F. Javier López () and
Gerardo Sanz ()
Additional contact information
Raúl Gouet: Universidad de Chile
F. Javier López: Universidad de Zaragoza
Gerardo Sanz: Universidad de Zaragoza
Journal of Theoretical Probability, 2007, vol. 20, issue 3, 443-455
Abstract:
Abstract Let (X n ) be a sequence of nonnegative, integrable, independent and identically distributed random variables, with common distribution function F. We consider the problem of finding all distribution functions F such that N n −cM n is a discrete time martingale, where N n is the counting process of upper records, M n =max {X 1,…,X n } is the process of partial maxima and c is a positive constant. We solve the problem by explicitly giving the solution with finite support and using this for constructing the solution for the general case by a limiting process. We show that the set of solutions can be parameterized by their support and the mass at the leftmost point of the support.
Keywords: Characterization of distributions; Martingales; Records (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10959-007-0065-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:jotpro:v:20:y:2007:i:3:d:10.1007_s10959-007-0065-2
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/10959
DOI: 10.1007/s10959-007-0065-2
Access Statistics for this article
Journal of Theoretical Probability is currently edited by Andrea Monica
More articles in Journal of Theoretical Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().