Empirical model-building and response surface
Empirical model-building and response surface
An experimental procedure for simulation response surface model identification
Communications of the ACM
Design of frequency-domain experiments for discrete-valued factors
Applied Mathematics and Computation
Driving frequency selection for frequency domain simulation experiments
Operations Research
Taguchi's parameter design: a panel discussion
Technometrics
Metamodels for simulation input-output relations
WSC '92 Proceedings of the 24th conference on Winter simulation
Using central composite designs in simulation experiments
WSC '92 Proceedings of the 24th conference on Winter simulation
Variance reallocation in Taguchi's robust design framework
WSC '92 Proceedings of the 24th conference on Winter simulation
Experimental designs for system assessment and improvement when noise factors are correlated
WSC '94 Proceedings of the 26th conference on Winter simulation
Response surface methodology and its application in simulation
WSC '93 Proceedings of the 25th conference on Winter simulation
Designing simulation experiments: Taguchi methods and response surface metamodels
WSC '91 Proceedings of the 23rd conference on Winter simulation
Solution to the indexing problem of frequency domain simulation experiments
WSC '91 Proceedings of the 23rd conference on Winter simulation
A model for frequency domain experiments
WSC '87 Proceedings of the 19th conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Experimental designs for system assessment and improvement when noise factors are correlated
WSC '94 Proceedings of the 26th conference on Winter simulation
A tutorial on design and analysis of simulation experiments
WSC '95 Proceedings of the 27th conference on Winter simulation
Statistical issues in simulation
WSC '96 Proceedings of the 28th conference on Winter simulation
Sensitivity and scenario analysis for simulation metamodels
WSC '96 Proceedings of the 28th conference on Winter simulation
Statistical analysis of simulation output
Proceedings of the 29th conference on Winter simulation
It is a far, far better mean I find…
Proceedings of the 29th conference on Winter simulation
So you have your model: what to do next. A tutorial on simulation output analysis
Proceedings of the 30th conference on Winter simulation
Proceedings of the 30th conference on Winter simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Design of experiments: robust design: seeking the best of all possible worlds
Proceedings of the 32nd conference on Winter simulation
Simulation input analysis: joint criterion for factor identification and parameter estimation
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
| Hi-index | 0.00 |