In this lecture, we continue to introduce terminating and non-terminating systems and difference methods for estimating performance from simulation models of them (using transient and steady-state simulations). This involves a description of various types of point estimators (mean and quantile) as well as related interval estimators (confidence intervals and prediction intervals, as well as the relationship to standard error of the mean (SEM)). We start to discuss issues involving making inferences from pseudo-replicated within-replication samples versus across-replication samples (which are independent and often normally distributed). We will continue this in the next lecture, as we start focusing more on steady-state simulations of non-terminating systems.
[ For some strange reason, the in-room video camera was not recorded as the speaker view despite apparently working during the class. Consequently, only the slide view is shown. ]
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