Building valid, credible, and appropriately detailed simulation models - Statistical procedures for comparing real-world observations and simulation output data
8 important questions on Building valid, credible, and appropriately detailed simulation models - Statistical procedures for comparing real-world observations and simulation output data
When do we have nonstationary data:
What is a consequence of having autocorrelated data?
What are 2 procedures for comparing real-world obsevations and simulation output data?
2. Correlated inspection approach.
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Correlated inspection approach:
What is the danger of the basic inspection approach?
What are the steps in a CI-approach?
- n independent sets of data from the model (Yj i.i.d. with mean mu_y).
- Construct CI for mu_x - mu_x.
- If 0 is not in the CI, the observed difference is statistically significant at level alpha.
- If the magnitude of the difference is large enough to invalidate any inferences about the system that would be derived from the model, the difference is practically significant.
What are 3 time-series approaches?
- Hsu & Hunter approach: fitting parametric time series model to each set of output data and applying a hypothesis test to see whether the 2 models appear to be the same.
- Chen & Sargent approach: CI for the difference between the steady-state mean of the system vs. model, based on Schruben's standardized time-series approach.
What are the requirements for a spectral-analysis approach?
- High level of mathematical sophistication is needed.
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