This lecture section is a cumulative review of material from the semester and is meant to serve as a study guide for students preparing for the upcomi...
In this wrap-up lecture, we finish the treatment of Variance Reduction Techniques (VRT's) for stochastic simulation. We cover (or review) Common Rand...
In this lecture, we review different forms of Variance Reduction Techniques (VRT's) for stochastic simulation, which attempt to re-design simulation e...
This lecture primarily finishes the coverage of estimation of relative performance by walking through the three different 2-sample mean tests (paired-...
In this lecture, we move from estimation of absolute performance from simulation studies to estimation of relative performance. We start with connecti...
This lecture continues to discuss issues related to estimating absolute performance from transient and steady-state simulations (of terminating and no...
In this lecture, we continue our discussion of the use of performance estimation strategies for absolute performance (particularly in the case of tran...
In this lecture, we continue to discuss hypothesis testing -- introducing parametric, non-parametric, exact, and non-exact tests and reviewing the ass...
In this lecture, we review the basics of hypothesis testing (type-I error, type-II error, statistical power) and the fundamental processes underlying...
In this lecture, we revisit some basics of hypothesis testing and then go on to introduce verification, validation, and calibration in the context of ...