In this lecture, we introduce the 3-lecture unit on "Input Modeling." We start with motivations from thinking about stochastic simulation models and then describe the potential problems that can occur in collecting data. We close with a set of rules that can be helpful to follow when collecting data. We will start on choosing probabilistic families, parameterizing them, and testing goodness of fit next lecture (and extending over the next lecture).
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