Last Success Problem: Decision Rule and Application

Wolfgang Kohn

EconStor Preprints from ZBW - Leibniz Information Centre for Economics

Abstract: Where is the most likely position for the last success in n events, if each event has the same probability Pr(A)? What is the probability for the last success? This situation assumes returning successes which is different to the stop waiting problem where a single best event is assumed. We set F. Thomas Bruss's theory into a simple probability framework and develop a decision rule for the last success. The results are applied to the Apple share prices.

Keywords: Optimal Stopping Problem; Mathematical Tools (search for similar items in EconPapers)
JEL-codes: C65 E47 G17 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/97215/1/lastsuccess.pdf (application/pdf)

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:zbw:esprep:97215

Access Statistics for this paper

More papers in EconStor Preprints from ZBW - Leibniz Information Centre for Economics Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().