Math 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)
- Recent Texts:
- Past Instructors:
- 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
Content coverage:
- 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
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