Please use this identifier to cite or link to this item: https://scholar.utcc.ac.th/handle/6626976254/3500
Title: A Comparison of Population Estimates Using Nonresponse Unit Weighting Adjustment Methods: Raking and Poststratification
Authors: Hatchavanich, Doungporn 
Issue Date: 2010
Publisher: Chulalongkorn University Printing House
University of the Thai Chamber of Commerce
Source: Doungporn Hatchavanich (2010) A Comparison of Population Estimates Using Nonresponse Unit Weighting Adjustment Methods: Raking and Poststratification. University of the Thai Chamber of Commerce Journal Vol.30 No.2.
Journal: University of the Thai Chamber of Commerce Journal 
Abstract: The objective of this study is to compare the precision of the parameter estimates ofmean using two weighting adjustment methods for unit nonresponse, namely Rakingand Postratification methods. The study shows that both methods produced similarbiased estimates of the population mean. The standard errors of the estimatesindicate that where there was less variation among population data, Poststratificationand Raking methods provided better results than using only the base weightingadjustment method, and Raking gave smaller standard errors than Poststratification. Inaddition, when there was a greater variation in population data, both methods gaveless difference in standard errors. Moreover, when a larger sample size was used, theestimates obtained from the two methods resembled standard errors compared to theresults gained from using baseline weighting.
URI: https://scholar.utcc.ac.th/handle/6626976254/3500
ISSN: 0125-2437
Rights: This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
Appears in Collections:JEO: Journal Articles

Files in This Item:
File Description SizeFormat 
570fulltext.pdf474.5 kBAdobe PDFThumbnail
View/Open
Show full item record Recommend this item

Page view(s)

9
checked on Jul 11, 2019

Download(s)

1
checked on Jul 11, 2019

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.