Archived lectures from undergraduate course on stochastic simulation given at Arizona State University by Ted Pavlic
Tuesday, October 29, 2019
Lecture H: Output Verification, Validation, and Calibration (2019-10-29)
This lecture covers testing, validation, verification, and the general process of simulation model calibration. Specific quantitative topics involve power analysis of a one-sample, two-tailed t-test as well as the application of a paired t-test for analyzing validity of a simulation model using data from a real system.
There is a period at the end of the lecture where I accidentally refer to an OC curve as plotting effect size versus statistical power. I meant to say that it plots effect size versus false negative rate (beta, or type-II error). This is fixed in the posted slides for the class.
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