Lesson 5 Auxillary Data and Regression Estimation STAT 506 - Sampling Theory and Methods

# Lesson 5 Auxillary Data and Regression Estimation STAT 506 - Sampling Theory and Methods

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STAT 506 - Sampling Theory and Methods ANGEL Department of Statistics Eberly College of Science Home Lesson 5: Auxillary Data and Regression Estimation Submitted by gfj100 on Tue, 12/01/2009 - 09:44 Reading assignment for Lesson 5: Ch. 8.1 of Sampling by Steven Thompson, 2nd edition. Introduction This lesson discusses when and how to use regression estimation. An example for using regression is given. Then we compare the regression estimate with simply using the sample mean, not taking advantage of the auxiliary information. To illustrate that one has to choose the right model, we use the ratio estimate for the example even though the condition for using the ratio estimate was not satisfied. And, not surprisingly, ratio estimate performs poorly since it is not the appropriate model for that data set. Lesson 5 Objectives Upon success completion of this lesson, you will be able to: know why and when to use regression estimates know how to check the condition to see whether one can use the regression estimate

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## This note was uploaded on 09/10/2010 for the course STAT 506 at Penn State.

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Lesson 5 Auxillary Data and Regression Estimation STAT 506 - Sampling Theory and Methods

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