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) |
|---|---|
| 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