310 - Introduction to Mathematical Statistics
Prerequisites:
Math 309 or Stat 309.
Frequency:
Spring (II)
Student Body:
Majors in math and statistics.
Credits:
4. (N-A) Background and Goals:
The sequence Math 309-310 introduces the student to the basic concepts and methods of mathematical statistics. Although this course is crosslisted with mathematics, it is the faculty at the Statistic department that usually teaches it. Please consult with the Statistic department for more information about this course.
Alternatives:
n/a
Subsequent Courses:
N/A Course Content:
- Unbiased estimation
- Maximum likelihood estimation
- Confidence intervals
- Tests of hypotheses
- Neyman-Pearson fundamental lemma
- Likelihood ratio test
- Applications to general linear model and analysis of variance
- Categorical data analysis
- Nonparametric methods