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Lecture H (2020-10-27): Verification, Validation, and Calibration of Simulation Models
IEE 475: Simulating Stochastic Systems
English - October 28, 2020 20:55Courses 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 G3 (2020-10-22): Input Modeling, Part 3
Next Episode: Lecture I (2020-10-29): Statistical Reflections
In this lecture, we revisit some basics of hypothesis testing and then go on to introduce verification, validation, and calibration in the context of simulation models. This will ultimately move us away from goodness-of-fit tests of input models toward hypothesis tests of output performance (e.g., to detect differences from different simulations scenarios and confirm that simulations of real-world scenarios match our expectations from real-world data).