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Lecture D2 (2021-09-21): Probabilistic Models
IEE 475: Simulating Stochastic Systems
English - September 21, 2021 20:57Courses 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 D1 (2021-09-16): Probability and Random Variables
Next Episode: Lecture E1 (2021-09-23): Random-Number Generation
In this lecture, we review basic probability space concepts from the previous lecture. We then go on to discuss the common probabilistic models that we will use in stochastic simulation (e.g., uniform, triangular, normal, exponential, Weibull, Erlang, Poisson, etc.). Basic background on the structure of each distribution is given as well as practical reasons why one distribution might be picked over another.