New Two-Stage and Sequential Procedures for Selecting the Best Simulated System
Published Online:1 Oct 2001https://doi.org/10.1287/opre.49.5.732.10615
References
- Discrete-Event System Simulation (1996) 2nd ed.(Prentice-Hall, Inc., Upper Saddle River, NJ) Google Scholar
- Design and Analysis for Statistical Selection, Screening, and Multiple Comparisons (1995) (John Wiley & Sons, Inc., New York) Google Scholar
- Statistical Decision Theory and Bayesian Analysis (1985) 2nd ed.(Springer-Verlag, New York) Crossref, Google Scholar
- A Bayesian approach to ranking and selection of related means with alternatives to analysis-of-variance methodology. J. Amer. Statist. Assoc. (1988) 83(402):364–373Crossref, Google Scholar
- Tables for Normal Sampling with Unknown Variance (1964) (Graduate School of Business Administration, Harvard University, Cambridge, M.A) Google Scholar
- A lower bound for the correct subset-selection probability and its application to discrete event simulations. IEEE Trans. Auto. Control (1996) 41(8):1227–1231Crossref, Google Scholar
- Optimal Statistical Decisions (1970) (McGraw-Hill, Inc., New York) Google Scholar
- , Madeiros D. J., Watson E. F., Carson J. S., Manivannan M. S. Statistical screening, selection, and multiple comparisons in computer simulation. Proc. Winter Simulation Conference (1998) (Institute of Electrical and Electronics Engineers, Inc., Piscataway, NJ) 159–166Crossref, Google Scholar
- On some multiple decision (selection and ranking) rules. Technometrics (1965) 7:225–245Crossref, Google Scholar
- Bayesian look ahead one stage sampling allocations for selecting the largest normal mean. Statist. Papers (1994) 35:169–177Crossref, Google Scholar
- Bayesian look ahead one-stage sampling allocations for selecting the best population. J. Statist. Planning and Inference (1996) 54:229–244Crossref, Google Scholar
- , Medeiros D. J., Watson E. J., Manivannan M., Carson J. Comparison of Bayesian and frequentist assessments of uncertainty for selecting the best system. (1998) Proc. Winter Simulation Conference(Institute of Electrical and Electronics Engineers, Inc., Piscataway, NJ) 727–734Crossref, Google Scholar
- A procedure for selecting a subset of size m containing the l best of k independent normal populations, with applications to simulation. Commun. Statist.-Simulation and Computation (1985) 14(3):719–734Crossref, Google Scholar
- Simulation Modeling & Analysis (1991) 2nd ed.(McGraw-Hill, Inc., New York) Google Scholar
- Two-stage multiple comparisons with the best for computer simulation. Oper. Res. (1995) 43:633–640Link, Google Scholar
- Using common random numbers for indifference-zone selection and multiple comparisons in simulation. Management Sci. (1995) 41:1935–1945Link, Google Scholar
- Simple procedures for selecting the best simulated system when the number of alternatives is large. (1999) . Technical Report, Northwestern University, Department of Industrial Engineering and Management Science, Evanston, ILGoogle Scholar
- On two-stage selection procedures and related probability-inequalities. Comm. Statist. (1978) A7:799–811Crossref, Google Scholar

