About the course
The aim of the course is to give a theoretical base of statistical inference. Concepts such as sufficiency, ancillary, invariance, the conditionality principle and likelihood ratios are treated in a rigorous way. Bayesian, likelihood and Neyman-Pearson inferences are applied and illustrated in point estimation, interval estimation and model choice. The course provides a solid base for research studies in statistics.