Introduction to Mathematical Statistics
Sampling distributions of statistics, estimation of parameters (confidence intervals, method of moments, maximum likelihood, comparison of estimators using mean square error and efficiency, sufficient statistics), hypothesis tests (p-values, power, likelihood ratio tests), and other topics. Mathematics 378K and Statistics and Data Sciences 378 may not both be counted. Three lecture hours a week for one semester.
Prerequisites & course information
Sampling distributions of statistics, estimation of parameters (confidence intervals, method of moments, maximum likelihood, comparison of estimators using mean square error and efficiency, sufficient statistics), hypothesis tests (p-values, power, likelihood ratio tests), and other topics. Mathematics 378K and Statistics and Data Sciences 378 may not both be counted. Three lecture hours a week for one semester.
Sources
- Course catalogue ↗2026-2027