Standard syllabus
Sampling methods · Undergraduate · Statistics
Topics
Sampling concepts
- Target population, frame, and sampling units
- Simple random sampling: estimates and variance
- Stratified sampling: optimal allocation
- Systematic sampling
- Cluster and multistage sampling
Estimation and inference
- Ratio and regression estimators
- Design-based vs model-based inference
- Confidence intervals for finite populations
- Sample size determination for surveys
- Two-stage sampling variance formulas
Nonresponse and weighting
- Unit and item nonresponse
- Post-stratification and raking (introduction)
- Calibration estimators (overview)
- Total survey error framework
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