Chapter 3: Stratified Sampling
Why stratifying?
Suppose we want to estimate the total income in a
population with 10,002 individuals. We know one
person makes $1 million and another makes $3 million.
No one else makes over $400,000. Note that the total is
Chapter 7: Complex Surveys
Most large scale surveys are complex. In this chapter, we
talk about some issues that we often face in such complex
surveys, and how we can use the tools that we have
learned so far to address these issues.
Examples: National Cr
Chapter 6: Sampling with Unequal Probabilities
Recall: in Chapter 5, we sample psus at the first stage
using SRS, so that each psu has an equal probability to be
sampled no matter how large or small the psu is in the
population.
As we know, such a samplin
Chapter 2: Simple Probability Samples
Three common probability sampling schemes:
Simple random sampling
Stratified random sampling
Every sample of size n in the population has the same
chance to be selected.
Population is divided into strata, and an SRS i
Chapter 8: Nonresponse Issues
In this chapter, we consider only some very basic
problems on this very important and difficult topic.
Two types of nonresponse (or missing data)
Unit nonresponse; examples?
Item nonresponse; examples?
Four common approaches
Chapter 5: Cluster Sampling with Equal Probabilities
Main ideas of cluster sampling:
Elements of true interest are grouped into `clusters.
Rather than take an SRS of the `interesting elements
directly, take an SRS of n of the N clusters, due to feasibilit
STAT 607 Survey Sampling
Fall 2015
Dr. S. Wang
Department of Statistics, Texas A&M University
1
Chapter 1: Introduction
Statistics
Both parametric and nonparametric
Infinite population size
Finite population size
Sampling
Finite populations
Usually nonpar
Chapter 2: Simple Probability Samples
Three common probability sampling schemes:
Simple random sampling
Every sample of size n in the population has the same
chance to be selected.
Stratified random sampling
Population is divided into strata, and an SRS i
STAT 407 & 607 Survey Sampling
Fall 2014
Dr. S. Wang
Department of Statistics, Texas A&M University
1
Chapter 1: Introduction
Statistics
Both parametric and nonparametric
Infinite population size
Finite population size
Sampling
Finite populations
Non i.i.
Chapter 4: Ratio and Regression Estimation
These estimation procedures make use of some auxiliary
variables denoted by xi when the main interest is to estimate
the population quantities regarding characteristic yi .
Typically, we know more information at