Using Prediction-Oriented Software for Survey Estimation - Part II: Ratios of Totals
by James R. Knaub, Jr
.
Abstract:
This article is an extension of Knaub (1999), "Using Prediction-Oriented Software for Survey
Estimation," which dealt with the estimation of totals and subtotals and the corresponding estimates of
variance in the presence of 'missing data,' whether missing as part of a sampling scheme, or as a result of
nonresponse. The current article deals with ratios of totals. An example from the electric power industry
would be the estimation of revenue per kilowatthour and its associated variance estimate. As in Knaub
(1999), the goal is to produce such estimates by making use of currently available software in which the
model can be quickly and easily modified, and the data may be stored in such a manner that they may be
easily recategorized for purposes of publishing various aggregations of the data with corresponding
variance estimates.
Key Words:
survey sampling, prediction, estimation, imputation, variance estimation, ratios of totals
Authors:
James R. Knaub,
James.Knaub@eia.doe.gov
Editor:
John Hinde
,
J.P.Hinde@exeter.ac.uk
READING THE ARTICLE: You can read the article in
portable document (.pdf) format (55008 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 295 times since July 24, 2006.
Return to the 
Home Page.