Ranking and selection tutorial: 2-factor normal means procedures

Authors:
David Goldsman
Affiliations:
School of ISyE, Georgia Institute of Technology, Atlanta, GA
Venue:
WSC '87 Proceedings of the 19th conference on Winter simulation
Year:
1987

Citing 2
Cited 4

Selecting and ordering populations: a new statistical methodology

Selecting and ordering populations: a new statistical methodology
Tutorial on indifference-zone normal means ranking and selection procedures

WSC '86 Proceedings of the 18th conference on Winter simulation

Retrospective simulation response optimization

WSC '91 Proceedings of the 23rd conference on Winter simulation
Designing computer simulation experiments

WSC '88 Proceedings of the 20th conference on Winter simulation
A survey of ranking, selection, and multiple comparison procedures for discrete-event simulation

Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Discrete-event simulation optimization using ranking, selection, and multiple comparison procedures: A survey

ACM Transactions on Modeling and Computer Simulation (TOMACS)

Quantified Score

Hi-index	0.00

Visualization

Abstract

We discuss sampling procedures for selecting that one of a number of normal populations (with common known variance) which has the largest mean. We present procedures appropriate for single-factor experiments, and then give procedures devised for 2-factor experiment's without interaction between the factor-levels. In all cases, the procedures guarantee a prespecified probability of selecting the correct population.