Delves into hypothesis testing, covering test statistics, critical regions, power functions, p-values, multiple testing, and non-parametric statistics.
Introduces stochastic simulation fundamentals, covering course organization, queueing models, finance, statistics, physics, and exam details.
Covers the comparison of restricted and unrestricted choice models using the likelihood ratio test and the Cox test.
Covers binary classification, hypothesis testing, likelihood ratio tests, and decision rules.
