Mon, Aug 25. Introduction, fundamental concepts including elements, sampling units, populations, samples, sampling designs.

Wed, Aug 27. Introduction to simple random sampling, parameters and estimators, introduction to sampling distributions.

Fri, Aug 29. Sampling distributions — continued, sampling distributions \(\bar{y}\) and \(\hat\tau\) under SRS. A homework assignment on simple random sampling is now available. After today’s lecture you should be able to do the first section titled “Sampling Distributions”.

Mon, Sep 1. Holiday.

Wed, Sep 3. Sampling with replacement, central limit theorem, interpreting normal sampling distributions, standard errors and bounds on the error of estimation, confidence intervals.

Fri, Sep 5. Simulation studies, categorical target variables, domain estimators.

Mon, Sep 8. Sample size selection, summary of inference in the context of simple random sampling.

Wed, Sep 10. Introduction to stratified random sampling.

Fri, Sep 12. Optimum allocation. A set of homework problems concerning stratified sampling and related topics is now available. The study guide for the first examination is also now available.

Mon, Sep 15. Optimum allocation — continued, design effect, effective sample size.

Wed, Sep 17. Optimum stratification, stratified random sampling via double sampling.

Fri, Sep 19. Post-stratification, survey weights and re-weighting.

Mon, Sep 22. Inferences concerning stratum parameters.

Wed, Sep 24. Using the survey package in R for inferences from simple and stratified random sampling designs.

Fri, Sep 26. First examination.

Mon, Sep 29. Estimating ratios.

Wed, Oct 1. Introduction to ratio estimators.

Fri, Oct 3. Ratio estimators — continued.

Mon, Oct 6. Mean squared error, double sampling for ratio estimators, ratio estimators for stratified random sampling designs. A set of homework questions is now available concerning ratio estimators, regression estimators, and re-weighting and calibration.

Wed, Oct 8. Regression estimators, the prediction perspective.

Fri, Oct 10. Re-weighting and calibration. The study guide for the second examination is now available.

Mon, Oct 13. Introduction to cluster sampling. A homework assignment concerning cluster sampling is now available.

Wed, Oct 15. Cluster sampling — continued, estimation of \(\tau\), the design effect for cluster sampling.

Fri, Oct 17. Sampling with replacement with unequal selection probabilities, the Hansen-Hurwitz estimator, cluster sampling with selection probabilities proportional to cluster size.

Mon, Oct 20. Stratified cluster sampling, systematic sampling.

Wed, Oct 22. Systematic sampling — continued, ranked set sampling.

Fri, Oct 24. Inclusion probabilities revisited, themes.

Mon, Oct 27. Second examination.

Wed, Oct 29. Two-stage cluster sampling.

Fri, Oct 31. Two-stage cluster sampling — continued.

Mon, Nov 3. Introduction to abundance estimation, abundance estimation using one-stage cluster sampling and simple random sampling. A homework assignment on two-state cluster sampling is now available.

Wed, Nov 5. Abundance estimation with diagnostic tests, mark-recapture designs.

Fri, Nov 7. Multinomial and hypergeometric models for mark-recapture designs, mark-recapture with cluster sampling. A homework assignment on abundance estimation is now available.

Mon, Nov 10. Horvitz-Thompson and Hansen-Hurwitz estimators.

Wed, Nov 12. Horvitz-Thompson estimator — continued, specification of inclusion probabilities.

Fri, Nov 14. Direct and indirect specification of inclusion probabilities, balanaced sampling. The homework assignment assignment concerning inclusion probabilities and related topics is now available. The study guide for the third examination is also now available.

Mon, Nov 17. Line-intercept sampling, fixed area plot sampling, Bitterlich sampling.

Wed, Nov 19.

Fri, Nov 21.

Mon, Nov 24. Fall recess.

Wed, Nov 26. Fall recess.

Fri, Nov 28. Fall recess.

Mon, Dec 1.

Wed, Dec 3.

Fri, Dec 5. Third examination.

Mon, Dec 8.

Wed, Dec 10.

Fri, Dec 12.

Monday, Dec 15. Final examination, 12:45 to 2:45 PM.