On an optimal stopping problem of Gusein-Zade
Arthur Q. Frank and
Stephen M. Samuels
Stochastic Processes and their Applications, 1980, vol. 10, issue 3, 299-311
Abstract:
We study the problem of selecting one of the r best of n rankable individuals arriving in random order, in which selection must be made with a stopping rule based only on the relative ranks of the successive arrivals. For each r up to r=25, we give the limiting (as n-->[infinity]) optimal risk (probability of not selecting one of the r best) and the limiting optimal proportion of individuals to let go by before being willing to stop. (The complete limiting form of the optimal stopping rule is presented for each r up to r=10, and for r=15, 20 and 25.) We show that, for large n and r, the optical risk is approximately (1-t*)r, where t*[approximate]0.2834 is obtained as the roof of a function which is the solution to a certain differential equation. The optimal stopping rule [tau]r,n lets approximately t*n arrivals go by and then stops 'almost immediately', in the sense that [tau]r,n/n-->t* in probability as n-->[infinity], r-->[infinity]
Keywords: Secretary; problem; optimal; stopping; relative; ranks; best; choice; problems (search for similar items in EconPapers)
Date: 1980
References: Add references at CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0304-4149(80)90013-7
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:spapps:v:10:y:1980:i:3:p:299-311
Ordering information: This journal article can be ordered from
http://http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Stochastic Processes and their Applications is currently edited by T. Mikosch
More articles in Stochastic Processes and their Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().