Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
  1. Home
  2. Search

Refine search

Refine search

Access:
Content type:
Publication date:
Apply   From and To filters
Subject: Show more
Journals Show more
Publishers: Show more
Societies Show more
Series: Show more
Collections: Show more

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

2 results

  • Optimizing a single uncertain selection by recall of observations

  • Part of
  • Ted Sweet
  • Journal:
    Journal of Applied Probability / Volume 31 / Issue 3 / September 1994
    Published online by Cambridge University Press:
    14 July 2016, pp. 660-672
    Print publication:
    September 1994

  • This paper considers a variation of the classical secretary problem; this variation allows for the interviewer to make an offer to previously interviewed applicants and for the applicant to reject an offer. In this version, the process ends after any offer is made. Two special cases are considered, where the optimal procedure and its probability of success are given for each. Furthermore, the problem is discussed in general and conditions for optimal strategies are given.

  • The secretary problem with an unknown number of candidates

  • A. R. Abdel-hamid, J. A. Bather, G. B. Trustrum
  • Journal:
    Journal of Applied Probability / Volume 19 / Issue 3 / September 1982
    Published online by Cambridge University Press:
    14 July 2016, pp. 619-630
    Print publication:
    September 1982

  • When the number of candidates is unknown, the problem of selecting the best during a sequence of interviews has many reasonable solutions. A simple condition for admissibility is established and it is shown that the class of Bayes solutions obtained by treating the number of candidates as a random variable is by no means complete. On the other hand, there is a single improper prior distribution for which the extended Bayes solutions constitute the whole family of admissible procedures.