Covers Likelihood Ratio Tests, their optimality, and extensions in hypothesis testing, including Wilks' Theorem and the relationship with Confidence Intervals.
Explores constructing confidence regions, inverting hypothesis tests, and the pivotal method, emphasizing the importance of likelihood methods in statistical inference.
Covers detectors' types, counting statistics, error prediction, and uncertainty estimation in measurements, emphasizing the importance of statistical tests and the optimization of experiments.
