This
** preview**
has intentionally

**sections.**

*blurred***to view the full version.**

*Sign up**This preview shows
pages
1–2. Sign up
to
view the full content.*

STAT 506 - Sampling Theory and Methods
•
ANGEL
•
Department of Statistics
•
Eberly College of Science
Home
Lesson 3: Unequal Probability Sampling
Submitted by gfj100 on Tue, 12/01/2009 - 09:35
Reading assignment
for Lesson 3: Ch. 6.1, 6.2, 6.4 of
Sampling
by Steven Thompson, 2nd edition.
This lesson starts with the rationale for using unequal probability sampling in section 3.1. We then discuss in
section 3.2 the Hansen-Hurwitz estimator which may be used when the sampling is with replacement. In
section 3.3, we introduce the Horvitz-Thompson estimator which can be used when the sampling is with or
without replacement. In section 4, a small population example is used to illustrate some properties of these
two estimators. Through this example, one can see that both estimators are unbiased.
Lesson 3 Objectives
Upon successful completion of this lesson, you will be able to:
•
know why and when to use unequal probability sampling,
•
how to perform unequal probability sampling,
•
how to compute the Hansen-Hurwitz estimator and its estimated variance,

This
** preview**
has intentionally

This is the end of the preview. Sign up
to
access the rest of the document.

Lesson 3 Unequal Probability Sampling STAT 506 - Sampling Theory and Methods

Ask a homework question
- tutors are online