Abstract
An important use for discrete-event simulation models lies in comparing and contrasting competing design alternatives without incurring any physical costs. This article presents a survey of the literature for two widely used classes of statistical methods for selecting the best design from among a finite set of k alternatives: ranking and selection (R&S) and multiple comparison procedures (MCPs). A comprehensive survey of each topic is presented along with a summary of recent unified R&S-MCP approaches. Procedures are recommended based on their statistical efficiency and ease of application; guidelines for procedure application are offered.
Original language | English (US) |
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Pages (from-to) | 134-154 |
Number of pages | 21 |
Journal | ACM Transactions on Modeling and Computer Simulation |
Volume | 13 |
Issue number | 2 |
DOIs | |
State | Published - Apr 2003 |
Keywords
- Multiple comparisons
- Ranking and selection
- Simulation optimization
ASJC Scopus subject areas
- Modeling and Simulation
- Computer Science Applications