Statistical inference 1, 5 op

Sampling distributions of statistics, Law of large numbers, Central limit theorems, sufficiency, basics of likelihood inference, point estimation, mean square errors, Fisher information, Cramer-Rao lower bound, method of moments, maximum likelihood estimators, confidence interval estimation, hypothesis testing- likelihood ratio tests and most powerful tests.