Spring 2019 - STAT 410 D100
Statistical Analysis of Sample Surveys (3)
Class Number: 3438
Delivery Method: In Person
An introduction to the major sample survey designs and their mathematical justification. Associated statistical analyses. Quantitative.
This course covers the major ideas and methods of modern survey sampling.
- Ideas of sampling, overview of application areas. Use of the free statistical software package R to select random samples and explore sampling ideas through simulation and graphics.
- Simple Random Sampling: Selecting random samples with and without replacement, concept of population and sampling frame, estimating means, totals, and proportions, the finite population correction factor, confidence intervals, use of the normal approximation, choosing the sample size.
- Unequal probability sampling. How to select a sample of units with unequal selection or inclusion probabilities, unbiased estimation with unequal probability designs.
- Stratified Random Sampling: Stratification of a population, selecting stratified random samples, advantages of stratification, gains in precision, confidence limits, optimal sample sizes, stratification after selection.
- Ratio and Regression Estimation: Use of auxiliary information, bias, mean square error, gains in precision, confidence intervals, design versus model based approaches.
- Cluster and systematic Sampling: Selection and estimation methods, potential advantages and disadvantages.
- Multi-Stage Sampling: Organization of the population into units of different sizes, selection in stages, estimation.
- Double Sampling: Multiphase sampling for ratio estimation and for stratification.
- Selected topics in modern survey sampling. Topics of current importance such as network sampling, spatial sampling.
- Assignments 20%
- Midterm 25%
- Project 10%
- Final 45%
Above grading is subject to change.
Sampling, 3rd Edition (2012), by S.K. Thompson, published by John Wiley and Sons.
Text is also available as an ebook online through the SFU Library.
Department Undergraduate Notes:
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