Searching for important factors: sequential bifurcation under uncertainty
Proceedings of the 29th conference on Winter simulation
Proceedings of the 32nd conference on Winter simulation
Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Proceedings of the 33nd conference on Winter simulation
Designing simulation experiments
WSC '04 Proceedings of the 36th conference on Winter simulation
A two-phase screening procedure for simulation experiments
WSC '05 Proceedings of the 37th conference on Winter simulation
Controlled sequential factorial design for simulation factor screening
WSC '05 Proceedings of the 37th conference on Winter simulation
A hybrid method for simulation factor screening
Proceedings of the 38th conference on Winter simulation
State-of-the-Art Review: A User's Guide to the Brave New World of Designing Simulation Experiments
INFORMS Journal on Computing
Important factors in screening for colorectal cancer
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Two-phase screening procedure for simulation experiments
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Proceedings of the Winter Simulation Conference
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Screening experiments are performed to eliminate unimportant factors so that the remaining important factors can be more thoroughly studied in later experiments. Sequential bifurcation (SB) is a screening method that is well suited for simulation experiments; the challenge is to prove the "correctness" of the results. This paper proposes Controlled Sequential Bifurcation (CSB), a procedure that incorporates a two-stage hypothesis-testing approach into SB to control error and power. A detailed algorithm is given, performance is proved and an empirical evaluation is presented.