A New Approach to Estimate the Critical Constant of Selection Procedures
Joint Authors
Source
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-02-07
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Economics & Business Administration
Business Administration
Abstract EN
A solution to the ranking and selection problem of determining a subset of size m containing at least c of the v best from k normal distributions has been developed.
The best distributions are those having, for example, (i) the smallest means, or (ii) the smallest variances.
This paper reviews various applicable algorithms and supplies the operating constants needed to apply these solutions.
The constants are computed using a histogram approximation algorithm and Monte Carlo integration.
American Psychological Association (APA)
Chen, E. Jack& Li, Min. 2010. A New Approach to Estimate the Critical Constant of Selection Procedures. Advances in Decision Sciences،Vol. 2010, no. 2010, pp.1-12.
https://search.emarefa.net/detail/BIM-510561
Modern Language Association (MLA)
Chen, E. Jack& Li, Min. A New Approach to Estimate the Critical Constant of Selection Procedures. Advances in Decision Sciences No. 2010 (2010), pp.1-12.
https://search.emarefa.net/detail/BIM-510561
American Medical Association (AMA)
Chen, E. Jack& Li, Min. A New Approach to Estimate the Critical Constant of Selection Procedures. Advances in Decision Sciences. 2010. Vol. 2010, no. 2010, pp.1-12.
https://search.emarefa.net/detail/BIM-510561
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-510561