Tuesday, September 3, 2019
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In this lecture, we close out our review of DES fundamentals and hand simulation. After going through a hand-simulation example one last tim...
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This lecture covers Variance Reduction Techniques (VRT) for stochastic simulation, covering: Common Random Numbers (CRNs), Control Variates ...
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In this lecture, we review basic probability space concepts from the previous lecture. We then go on to discuss the common probabilistic mod...
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In this lecture, we review topics from the first half of the semester that will be tested over in the upcoming midterm. Most of the class in...
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In this lecture, we introduce the detailed process of input modeling. Input models are probabilistic models that introduce variation in simu...
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In this lecture, we review pseudo-random number generation and then introduce random-variate generation by way of inverse-transform sampling...
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In this lecture, we introduce the three different simulation methodologies (agent-based modeling, system dynamics modeling, and discrete eve...
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In this lecture, we (nearly) finish our coverage of Input Modeling, where the focus of this lecture is on parameter estimation and assessing...
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In this lecture, we continue to discuss hypothesis testing -- introducing parametric, non-parametric, exact, and non-exact tests and reviewi...
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In this lecture, we wrap up the course content in IEE 475. We first do a quick overview of the four variance reduction techniques (VRT's...
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