Input your registered email address to reset your password
University of Hong Kong
1. Overview: random sample; sampling distributions of statistics; moment generating function; large-sample theory: laws of large numbers and Central Limit Theorem; likelihood; sufficiency; factorisation criterion;
2. Estimation: estimator; bias; mean squared error; standard error; consistency; Fisher information; Cramer-Rao Lower Bound; efficiency; method of moments; maximum likelihood estimator;
3. Hypothesis testing: types of hypotheses; test statistics; p-value; size; power; likelihood ratio test; Neyman-Pearson Lemma; generalized likelihood ratio test; Pearson chi-squared test; Wald tests;
4. Confidence interval: confidence level; confidence limits; equal-tailed interval; construction based on hypothesis tests.
Examination One 2-hour written examination 75%
Assignments Coursework (assignments, tutorials and a class test) 25%
You have to signup an account to view this content. Sign Up Sign In
Estimator, Hypothesis testing
75% final, 15% mid-term, 5% assignment
If you have any inquiry on RegCourse, please drop us an email. We will get back to you very soon.