schedule       


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time and place

Lectures: 11:00-12:20 a.m., MW; 127 Heroy

textbook

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

overview

We will discuss the basics of sampling theory in this course, including how to design a sampling plan for collecting data from a finite population, and how to analyze it. Topics covered include simple random, systematic, stratified, cluster, two-stage and probability proportional to size designs. We will also discuss some methods for handling non-response, including weighting and imputation.  You will gain experience with the application of sample design methods via a number of small (and possibly one large) project. 

computer usage
You will need to use the computer for some of our assignments.  Familiarity with any of SAS, Minitab, or Splus will be sufficient for this.  You will be introduced to some procedures in SAS specifically for data analysis for data collected through a complex sample design.

grading
Your semester grade will be determined will be determined according to your performance on the following:
 

Homework 25%
Midterm  25%
Final exam 35%
Classwork/Project 15%

  • You will have 3 or 4 homework assignments during the semester.  You may discuss the solutions with your classmates or others, but each student must write up his or her own solutions. 

  • The midterm and final exams will have a lab portion.  In this part you will actually perform a sampling operation.  

  • We will from time to time do mini-projects or presentations in class. We may also have a larger project with some work done in teams. Your performance on these tasks will make up the classwork/project contribution to your grade.

    Tentative Schedule

     

    Week Dates Topics Reading1  and Assignments
    1 Jan 18 Introduction Chapter 1, 2.1-2.2
    2 Jan 23-25  Horvitz Thompson estimators, SRS 2.3-2.4, 2.7
    3 Jan 30-Feb 1 Sample size, Ratio estimation 2.5, 3.1, 3.3; Example
    4 Feb 6-8 More ratio estimation, Stratified sampling HW1 due Feb 8; Comments on sol's
    5 Feb 13-15 Optimal allocation
    6 Feb 20-22 Post-stratification; Cluster sampling Ch 5; HW2 due Feb 22 library data
    7 Feb 27-Mar 1  Design effects., systematic samp. easy reading about deff
    8 Mar 6-8 Midterm 3/8
    9  Mar 20-22 Midterm follow-up
    10 Mar 27-29  Two stage sampling  Here is a corrected file with the calculations from the polling example. Sec 5.3-5.5, 5.7.
    11 Apr 3-5 Unequal probability designs; estimating other parameters Ch. 6, Ch. 7
    12 Apr 10-12 Weights and design effects HW3 due Apr 10 (This one now has those weird extra pages removed!)

    SAS proc surveymeans
    13 Apr 17-19  Regression, Non-response; Exploratory analysis; Empirical likelihood Ch. 11, Ch. 8
    14 Apr 24-26 Non-response,Variance estimation, Project discussion ; Indirect sampling, multiple frames; imputation Parking lot presentations on 4/26!
    15 May 1 Measurement error, Variance estimation
      Exam  May 5, 3-6 p.m.

    1 Denotes reading from Lohr, unless otherwise specified