In this program
- Point estimators: method of moments
- Maximum likelihood (intro)
- Properties of estimators: bias, variance, and MSE
- Confidence intervals: pivot methods
- Large-sample confidence intervals
- Bootstrap confidence intervals (introduction)
Estimation
Properties of estimators: bias, variance, and MSE
Statistical inference · Standard syllabus
Topic
Properties of estimators: bias, variance, and MSE
Undergraduate Statistical inference — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).