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Lecture H: Output Verification, Validation, and Calibration (2019-10-29)
IEE 475: Simulating Stochastic Systems
English - October 29, 2019 20:30Courses Education simulation stochastic des dess discrete event system industrial engineering modeling Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: Lecture G2: Input Modeling, Part 2 (2019-10-22)
Next Episode: Lecture G3: Input Modeling, Part 3 (2019-10-24)
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.