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A ranking and selection project: experiences from a university-industry collaboration
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Source Winter Simulation Conference archive
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1 table of contents
Phoenix, Arizona, United States
Pages: 83 - 92  
Year of Publication: 1999
ISBN:0-7803-5780-9
Authors
David Goldsman  School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA
Barry L. Nelson  Department of Industrial Engineering & Management Sciences, Northwestern University, Evanston, IL
Tracy Opicka  Schneider National Inc., 3101 S. Packerland Dr., Green Bay, WI
A. B. Pritsker  Symix Systems, Inc., 9032 E. Cedar Waxwing Drive, Sun Lakes, AZ
Sponsors
ACM: Association for Computing Machinery
SIGSIM: ACM Special Interest Group on Simulation and Modeling
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 2,   Downloads (12 Months): 24,   Citation Count: 6
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Bechhofer, R. E., S. Elmaghraby and N. Morse. 1959. A single-sample multiple-decision procedure for selecting the multinomial event which has the highest probability. Annals of Math. Stat. 30:102-119.
 
2
Bechhofer, R. E., T. J. Santner and D. Goldsman. 1995. Design and Analysis of Experiments for Statistical Se-lection, Screening and Multiple Comparisons.New York: John Wiley.
 
3
 
4
Gupta, S. S. 1956. On a Decision Rule for a Problem in Ranking Means. Ph.D. Dissertation (Mimeo. Ser. No. 150). Inst. of Statist., Univ. of North Carolina, Chapel Hill, North Carolina.
 
5
Gupta, S. S. 1965. On some multiple decision (selection and ranking) rules. Technometrics 7:225-245.
 
6
 
7
Hsu, J. C. 1984. Constrained simultaneous confidence intervals for multiple comparisons with the best. Annals of Statistics 12:1136-1144.
 
8
 
9
Matejcik, F. J., and B. L. Nelson. 1995. Two-stage multiple comparisons with the best for computer simulation. Operations Research 43:633-640.
 
10
 
11
Nelson, B. L., J. Swann, D. Goldsman and W.-M. Song. 1998. Simple procedures for selecting the best system when the number of alternatives is large. Technical Report. Dept. of IEMS, Northwestern Univ., Evanston, Illinois.
 
12
Opicka, T. L. 1999. Evaluating Ranking and Selection Procedures in Computer Simulation. M.S. Thesis, School of Industrial Engineering, Purdue University, West Lafayette, Indiana.
 
13
Opicka, T. L., and A. A. B. Pritsker. 1998. Scenario Selector User's Guide. SYMIX Systems/Pritsker Division, West Lafayette, Indiana.
 
14
 
15
Rinott, Y. 1978. On two-stage selection procedures and related probability-inequalities. Comm. Stat.:Thy. and Meth. A7:799-811.
 
16
Wilcox, R. R. 1984. A table for Rinott's selection procedure. J. Quality Technology 16:97-100.
 
17
Wilson, J. R., and A. A. B. Pritsker. 1978a. A survey of research on the simulation startup problem. Simulation 31:55-58.
 
18
Wilson, J. R., and A. A. B. Pritsker. 1978b. A procedure for evaluating startup policies in simulation experiments Simulation 31:79-89.


Collaborative Colleagues:
David Goldsman: colleagues
Barry L. Nelson: colleagues
Tracy Opicka: colleagues
A. B. Pritsker: colleagues