STAT 549 - Fall 2010

David Patterson
Math 208
243-6748; david.patterson@umontana.edu
Office hours: M 1-2, Tu 2-3, W 1-2, F 11-12

Readings from textbook:
Week 1: Chapter 1
Week 2: 2.1-2.4, 2.7 (at least to mid p. 24); Math students: 2.6
Week 3: Chap. 3,4,5.1-5.3,6
Week 4: Chap. 7
Week 5: Chap. 8, 11
Week 6:
Week 7: Chap. 11, 12
Week 8: Chap. 13, 14
Week 9: Chap. 19, 16
  • Syllabus
  • R project (see "An Introduction to R" under Documentation-Manuals for an intro)
  • R Intro (Patterson)

    Notes

  • Terminology review
  • Course overview
  • Sampling problems
  • Properties of expected value and variance
  • Simple random sampling
  • Sample size
  • Unequal probability sampling
  • Horvitz-Thompson estimator
  • Ratio estimation
  • Delta method
  • Bootstrapping
  • Regression Estimation
  • Ratio/regression estimation: further notes
  • Stratified sampling
  • Stratified sampling, con't
  • Stratified sampling for proportions: example
  • Cluster and systematic sampling

    Homework

  • Homework 1 due Fri, Sept. 17
  • Homework 2 due Fri, Oct. 8; data set: states.csv
  • Homework 3 due Mon., Nov. 1; data sets: harvest.csv, otters.csv, coots.csv
  • Homework 4 due Fri., Dec. 10; data sets: SweetCloverPlots.csv, SweetCloverTransects.csv

    Solutions

    Username and password required.
  • Homework 1 Solutions
  • Homework 2 Solutions

    R scripts

  • Sample size (on p. 18 of notes)
  • Hansen-Hurwitz using PPS farm example (from separate handout)
  • Ratio estimation for Example 1, p. 31 of notes
  • Ratio estimation function (p. 61 of notes)
  • Regression estimation function (p. 62 of notes)
  • Horvitz-Thompson function
  • Distance functions

    Other links

  • USDA publication: Statistical techniques for sampling and monitoring natural resources

    Last updated: 29 November 2010