P: M360. Introduction to statistical theory. Basic sampling
distributions. Order statistics. Point estimation, maximum likelihood
estimation, the Cramer-Rao bound, least squares method, confidence
intervals, hypothesis-testing concepts, Neyman-Pearson lemma,
likelihood ratio tests, linear models, large sample theory,
contingency tables, goodness-of-fit tests. II Sem.