Properties of Weighted Least Squares Regression for Cutoff Sampling in Establishment Surveys
by James R. Knaub, Jr.
Abstract:Ordinary least squares (OLS) regression gets most of the attention in the statistical literature, but for cases of regression through the origin, say for use with skewed establishment survey data, weighted least squares (WLS) regression is needed. Here will be gathered some information on properties of weighted least squares regression, particularly with regard to regression through the origin for establishment survey data, for use in periodic publications.
Key Words: classical ratio estimator; coefficient of heteroscedasticity; model-based estimation; regression through the origin; regression weights; sample; survey
James R. Knaub, Jr., James.Knaub@eia.doe.gov
Editor:Richard G. Graf, firstname.lastname@example.org
NOTE: This article was revised on November 25, 2013.
READING THE ARTICLE: You can read the article in portable document (.pdf) format (345515 bytes.)
NOTE: The content of this article is the intellectual property of the authors, who retains all rights to future publication.
This page has been accessed 4236 times since December 22, 2009.
Return to the Home Page.