You can download the Syllabus [here].

You can download the notation index [here].

• Week 1: Introducation to statistics, Maximum likelihood estimation. [Introduction] [Homework1] [HW1 solution]
• Week 2: Maximum likelihood estimation, Method of moment [Homework2]
• Week 3: Method of moment, Bayesian Method
• Week 4: Bayesian Method [Homework3]
• Week 5: Sufficient Statistics [Homework4]
• Week 6: UMVUE [Homework5]
• Week 7: UMVUE, Information Inequality and C-R lower bound [Homework6]
• Week 8: Sampling Distribution and Confidence Interval
• Week 9: Review Lectures

Logistics

Times and locations

• Lectures: Mon, Wed and Fri 3:10-4:00pm at Wellman Hall 216
• Discussions: Thu 2:10-3:00pm at Olson Hall 205
• Office hour: Mon&Fri 4:10-5:00pm at MSB 4229

TA: Jedidiah Harwood

• TA office hour: Tu 10:00-12:00 @ MSB 1117 (the TA office)

Grading:

• Weekly homeworks: 20%
• Midterm 1: 20%. In Class (April 22). Scope: Introduction, MLE, Method of Moments.
• Midterm 2: 20%. In Class (May 13). Scope: Bayesian Method, Sufficient Statistics, Properties of Estimators.
• FInal: 40%. Jun 10 (Mon) 3:30-5:30pm @ Wellman 216 (lecture room). Scope: UMVUE, Fisher Information and Efficient Estimation, Sampling Distribution, Confidence Intervals.

Midterm dates and scopes may change