Lectures

Mon, Aug 19. Introduction, fundamental concepts: elements, sampling units, populations, samples, sampling designs.

Wed, Aug 21. Simple random sampling, inferences for population totals and means when using simple random sampling, sampling distributions.

Fri, Aug 23. 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, Aug 26. Sampling with replacement, interpreting sampling distributions, margin of error, confidence intervals, variance estimation.

Wed, Aug 28. Simulation studies, categorical target variables, and domain estimators.

Fri, Aug 30. Sample size selection, summary of SRS.

Mon, Sep 2. Labor Day.

Wed, Sep 4. Introduction to stratified random sampling. A set of homework problems concerning stratified random sampling is now available. After today’s lecture should be able to do the problems that ask you to compute estimates and bounds on the error of estimation after this lecture.

Fri, Sep 6. Optimum allocation for stratified random sampling. The study guide for the first examination is also now available.

Mon, Sep 9. Optimum allocation – continued, stratified versus simple random sampling, design effect and effective sample size.

Wed, Sep 11. Optimum stratification, double sampling with stratification.

Fri, Sep 13. Post-stratification, survey weights and reweighting.

Mon, Sep 16. Inferences concerning stratum parameters when using stratified random sampling.

Wed, Sep 18. Inference from surveys using the survey package in R.

Fri, Sep 20. First examination.

Mon, Sep 23. Estimation of a ratio of totals.

Wed, Sep 25. Comparison of two estimators of a ratio of totals, introduction to ratio estimators.

Fri, Sep 27. Ratio estimators — continued.

Mon, Sep 30. Mean squared error, double sampling for ratio estimators, optimum allocation for double sampling for ratio estimators, ratio estimators with stratified random sampling. A set of homework questions on ratio estimators and related topics is now available.

Wed, Oct 2. Regression estimator, the prediction perspective of estimation.

Fri, Oct 4. Re-weighting revisited, calibration.

Mon, Oct 7. Introduction to (one-stage) cluster sampling. A set of homework questions on cluster sampling is now available, and the studyguide for the second examination is also now available.

Wed, Oct 9. Estimators of \(\tau\) under cluster sampling, the design effect for cluster sampling.

Fri, Oct 11. Sampling with replacement with unequal selection probabilities, cluster sampling with (selection) probabilities proportional to size.

Mon, Oct 14. Stratified cluster sampling, systematic sampling.

Wed, Oct 16. Systematic sampling — continued, ranked set sampling.

Fri, Oct 18. Inclusion probabilities — revisited, some themes in survey sampling design and estimation.

Mon, Oct 21. Second examination.

Wed, Oct 23. Two-stage cluster sampling.

Fri, Oct 25. Optimum sample size selection for two-stage cluster sampling, multi-stage cluster sampling. A set of homework questions on two-stage cluster sampling is now available.

Mon, Oct 28. Introduction to abundance estimation.

Wed, Oct 30. Abundance estimation with diagnostic tests, mark-recapture designs.

Fri, Nov 1. Mark-recapture — continued, using “marked” elements in cluster sampling for abundance estiation. A set of homework questions on abundance estimation is now available.

Mon, Nov 4. Inclusion probabilities revisited, the Horvitz-Thompson and Hansen-Hurwitz estimators.