STAT 5329 -- Intermediate Mathematical Statistics II -- spring 2014


Basic Information

Course instructor: Dr. Alex Trindade, 228 Mathematics & Statistics Building.
E-mail: alex.trindade"at"ttu.edu; Phone: 834-6164.
Course Meets: Tue & Thurs 11:00-12:20 in MATH 010.
Office Hours: Tue 2-3pm, Wed 12-1pm and 4-5pm, or by appointment.

Text Book

Required: Statistical Inference, by Casella and Berger, 2nd edition, 2002, Duxbury Press.
Helpful:

Course Objectives and Syllabus

The sequence STAT 5328-5329 introduces the fundamentals of the theory of mathematical statistics at the graduate level. In this course we will cover chapters 6-10 of the text: principles of data reduction, point estimation, hypothesis testing, interval estimation, and asymptotic evaluations. The prerequisite is STAT 5328.

Expected Student Learning Outcomes

Students will learn the fundamentals of mathematical statistics. This includes, but is not limited to, method of moments and maximum likelihood estimators (MLE's); exponential families and sufficiency; ancillary statistics and Basu's theorem; completeness; uniform minimum variance unbiased estimation (UMVUE), consistency and asymptotic distributions; hypothesis tests and power functions; likelihood ratio tests; Neyman-Pearson lemma and uniformly most powerful tests; asymptotic properties; confidence intervals.

Methods of Assessing the Expected Learning Outcomes

The expected learning outcomes for the course will be assessed through: homework assignments, semester tests, and a final exam. The course grade will be determined from homework problem sets (20%), two semester tests (20% each), and a comprehensive final exam (40%). Grades will be posted on raiderlink. The traditional grading scale will be used: The test schedule is as follows:

Homework Problem Sets

There will be weekly problem sets due on thursdays. You are expected to do all the assigned problems, but only those marked with an asterisk (*) are candidates for collection and subsequent grading. Start each problem on a separate page. All work handed in must be stapled together. No late submissions will be accepted.

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