Lehrinhalte |
(*)Concepts of statistical inference point estimation: criteria for point estimates (unbiasedness, efficiency, sufficiency, asymptotic properties, parametric delta method), maximum likelihood estimates, EM algorithm
statistical testing: basic concepts, Lemma of Neyman-Pearson, uniformly most powerful tests, test construction (likelihood ratio test, Wald test, score test)
confidence intervals: definition, criteria, duality: testing - interval estimation
|