STAT 305 Sampling Techniques
The aim of this STAT 305 Sampling Techniques course is sampling style and analysis strategies that may be helpful for analysis and management in several fields. An elegant sampling procedure ensures that we can summarize and analyze knowledge with a minimum of assumptions and complications.
Course topics:
1. Simple sampling with associated estimation and confidence interval strategies
2. Selecting sample sizes
3. Estimating proportions
4. Unequal likelihood sampling
5. Ratio and regression estimation
6. Stratified sampling
7. Cluster and systematic sampling
8. Multistage styles
9. Double or Two-stage sampling
10. Capture-recapture sampling
11. Random response model
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