Stat 674 Survey Sampling II

Instructor: Dr. Richard Bolstein When: Spring, 2001

Office: 157 Sci-Tech IILocation: Where: TBA

Email: rbolstei@gmu.edu Time: Tuesday, 7:20-10:00 p.m.

Phone: (703) 993-1689 Fax: (703) 993-1700

Office Hours: M, T 4:30-6:00 p.m. and by appointment. Email is encouraged.

Prerequisite: STAT 574 or equivalent and STAT 501 or a working knowledge of SAS.

Required Texts:

Lohr, Sharon L. (1999): Sampling: Design and Analysis, Duxbury Press.

SAS Institute (1999): Selected SAS Documentation for Survey Sampling, prepared for A. Richard Bolstein.

Other References:

Cochran, W.G. (1977), Sampling Techniques, 3rd ed., Wiley.

Sarndal, Swenson, and Wretman (1992), Model Assisted Survey Sampling, Springer-Verlag.

Course Description

A continuation of STAT 574. Multistage-stage sampling, two-phase sampling, regression and domain estimation in complex surveys, nonresponse models, weighting and imputation, model-based versus design-based estimation, introduction to variance estimation, loglinear analysis of survey data, rare event sampling, small area estimation, capture-recapture estimation. Students will participate in the design, data collection, and analysis of one or two survey projects. This subject matter corresponds to Chapters 6-12 of the text. It will be supplemented with notes from the instructor based on the text by Sarndal, et al, listed above. The schedule below is subject to change.

Class Schedule

Week Text Topic

1 Ch. 5-6 Multi-Stage Sampling.

2 Ch. 7 Complex Surveys: Class Attendance Rates (Class Project).

National Crime Victimization Survey

Marine Recreational Fishing Survey

3,4 Ch. 8 Nonresponse. Design Class Project.

5 2.8,3.4,5.7,6.7 Model-based Estimation. Begin Project data collection.

6,7 Ch. 9 Variance Estimation. Edit Project Data.

8,9 Ch. 10 Categorical Data Analysis. Analyze survey data.

10,11 Ch. 11 Regression Models. Write & Present Draft Report.

12 Ch. 12 Two-Phase Sampling, Capture-Recapture Estimation.

13 Ch. 12 Small Area Estimation.

14 Notes Estimation of Rare Events and Pizza (not so rare event).

15 Final Exam

Assignments and Grading.

Homework/project assignments will contribute 2/3 towards the final grade and the Final Exam will count 1/3.