ST.815 ADVANCED SAMPLING TECHNIQUES

June, July, August 2008

Instructor: John Borkowski

  • Course Syllabus

  • The course notes are being revised as the course progresses.

  • Section 1: Revision completed May 27, 2008

  • Section 2: Revision completed May 30, 2008

  • Section 3: Revision completed May 30, 2008

  • Section 4: Revision completed, June 10, 2008

  • Section 5: Revision completed, June 18, 2008

  • Section 6: Revision completed, June 24, 2008

  • Section 7: Revision completed, June 28, 2008

  • Section 8: Revision completed, July 20, 2008

  • Section 9: Revision completed, August 18, 2008

  • Section 10: Revision completed, August 12, 2008

  • Section 11: Revision completed, August 12, 2008

  • Section 12: Revision completed, August 17,2008

    Course notes by topic.

  • T-Table

  • Table of Contents

  • 1. Introduction to Sampling

  • 2. Simple Random Sampling

  • 3. Unequal Probability Sampling

  • 4. Ratio and Regression Estimation

  • 5. Stratified Sampling

  • 6. One-stage Cluster Sampling and Systematic Sampling

  • 7. Multistage Sampling

  • 8. Resampling Methods: The Jackknife

  • 9. Resampling Methods: The Bootstrap

  • 10. Detectability and Sampling

  • 11. Distance Sampling

  • 12. Adaptive Cluster Sampling

  • Turk and Borkowski (2005) Paper

    SAS Proc Surveymeans code:

  • SRS estimation of mean mu and total tau

  • SRS estimation of proportion p

  • Ratio estimation of R, mu, tau

  • Ratio estimation data set (n=300)

  • Domain estimation (mu_x unknown)

  • Domain estimation (mu_x known)

  • Stratified SRS estimation of mu and tau (Fig 5a)

  • Stratified SRS estimation of mu and tau (Fig 5b)

  • Stratified SRS estimation of p (Fig 5c)

  • Separate stratified ratio estimation

  • Estimation for cluster sampling

  • Estimation for systematic sampling

    Assignments

  • List of Problems to be assigned

  • Assignment 1

  • Assignment 2

  • Assignment 3

  • Assignment 3 proofs without missing details.

  • Assignment 4

  • Assignment 5

  • Assignment 6

  • Borkowski (2003) SLSS+/-k paper

  • Davison and Hinkley (1997) finite population bootstrap

    Matlab Code