Statistical screening, selection, and multiple comparison procedures in computer simulation
Proceedings of the 30th conference on Winter simulation
A Bonferroni selection procedure when using commom random numbers with unknown variances
WSC '86 Proceedings of the 18th conference on Winter simulation
A ranking and selection project: experiences from a university-industry collaboration
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
New results on procedures that select the best system using CRN
Proceedings of the 32nd conference on Winter simulation
Batching methods for simulation output analysis: a stopping procedure based on phi-mixing conditions
Proceedings of the 32nd conference on Winter simulation
Comparing systems via stochastic simulation: an enhanced two-stage selection procedure
Proceedings of the 32nd conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Mean Estimation Based on Phi-Mixing Sequences
SS '00 Proceedings of the 33rd Annual Simulation Symposium
Using Ordinal Optimization Approach to Improve Efficiency of Selection Procedures
Discrete Event Dynamic Systems
Recent advances in simulation optimization: a conservative adjustment to the ETSS procedure
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Indifference zone selection procedures: inferences from indifference-zone selection procedures
Proceedings of the 35th conference on Winter simulation: driving innovation
Hi-index | 0.00 |
This paper discusses the validity of using common random numbers (CRNs) with two-stage selection procedures to improve the possibility of correct selection and discusses the intrinsic subset pre-selection of the Enhanced Two-Stage Selection (ETSS) procedure. We propose using CRNs with Rinott's two-stage selection and ETSS procedures when the underlying processes satisfy certain conditions. An experimental performance evaluation demonstrates the improvement in the possibility of correct selection of using CRNs with two-stage selection procedures and the intrinsic subset pre-selection of the ETSS procedure.