STAT 6326 Sampling Theory

TuTh 600 pm - 815 pm in FN 2.104



Instructor: Michael Baron
Office: EC 3.912
Phone: 972-UTD-6874
Required text: Steven Thompson. Sampling, 2nd edition. Wiley, 2002.
Supplemented by:William G. Cochran. Sampling Techniques, Wiley, 1977
Bradley Efron. The Jackknife, the Bootstrap and Other
Resampling Plans. CBMS-NSF series, SIAM, 1982
Des Raj. Sampling Theory. McGraw-Hill, 1968
Internet: http://wwwpub.utdallas.edu/~mbaron/6326/ 

  Course outline:

1. Sampling from a finite population. Estimation theory. Estimation of 
   proportions, ratios, subpopulation means. Unequal probability sampling 
   and inference. Use of auxilliary data (Chapters 2--9).

2. Sampling designs. Stratified, cluster, multistage, double sampling.
   Network sampling and detectability. (Chapters 11--19).

3. Resampling schemes: jackknife, bootstrap (lecture notes).

4. Spatial sampling and kriging. Adaptive sampling. (Chapters 20--21. 
   If time permits, also 23--24).
The grade is based on: Homework (0%) Homework is assigned but is not collected or graded
Solutions will be discussed
Quizzes (30%)Short weekly quizzes related to the latest homework
Midterm exam (30%) A 1 1/4-hour midterm exam
Final exam (40%) A 2 1/4-hour final exam on July 31

Prerequisite: STAT 5351 Probability. A course in Statistics (STAT 5352, STAT 3360, CS 3341, STAT 3355, or equivalent is recommended, but can be taken concurrently).