Experimental design and optimization - Response surfaces and metamodels
5 important questions on Experimental design and optimization - Response surfaces and metamodels
Does effect insignificant imply corresponding regression to be insignificant and vice versa?
--> Do regression directly on raw simulation data
Multiple metamodels can be fit by using the same set of simulation runs if?
II all responses are recorded for each run
Formulate a test of quality of approximate response surface of metamodel
2) Construct (paired t) confidence interval for differences between simulated values and estimated values from metamodel
3) if CI does not contain 0m difference in statistically significant
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What is the central Composite Design (CCD)
2^k design points
1 center point
2k axial points
What is the goal of space-filling design
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