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Article: The reliability of using the iterative proportional fitting procedure

TitleThe reliability of using the iterative proportional fitting procedure
Authors
KeywordsIPF
Census data
Random error effect
Issue Date1992
PublisherBlackwell Publishing, Inc. The Journal's web site is located at http://www.blackwellpublishing.com/journals/PG
Citation
The Professional Geographer, 1992, v. 44 n. 3, p. 340-348 How to Cite?
AbstractThis paper demonstrates the utility of the iterative proportional fitting procedure (IPF) in generating disaggregated spatial data from aggregated data and evaluates the performance of the procedure. Estimates of individual level data created by IPF using data of equal-interval categories are reliable, but the performance of the estimation can be improved by increasing sample size. The improvement usually is enough to offset the increase in error created by other factors. If the two variables defining the cross-classification have a significant interaction effect and the number of categories in each variable is larger than two, then IPF is preferred over an independent model.
Persistent Identifierhttp://hdl.handle.net/10722/192433
ISSN
2015 Impact Factor: 1.407
2015 SCImago Journal Rankings: 0.849
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWong, WSD-
dc.date.accessioned2013-11-05T07:38:08Z-
dc.date.available2013-11-05T07:38:08Z-
dc.date.issued1992-
dc.identifier.citationThe Professional Geographer, 1992, v. 44 n. 3, p. 340-348-
dc.identifier.issn0033-0124-
dc.identifier.urihttp://hdl.handle.net/10722/192433-
dc.description.abstractThis paper demonstrates the utility of the iterative proportional fitting procedure (IPF) in generating disaggregated spatial data from aggregated data and evaluates the performance of the procedure. Estimates of individual level data created by IPF using data of equal-interval categories are reliable, but the performance of the estimation can be improved by increasing sample size. The improvement usually is enough to offset the increase in error created by other factors. If the two variables defining the cross-classification have a significant interaction effect and the number of categories in each variable is larger than two, then IPF is preferred over an independent model.-
dc.languageeng-
dc.publisherBlackwell Publishing, Inc. The Journal's web site is located at http://www.blackwellpublishing.com/journals/PG-
dc.relation.ispartofThe Professional Geographer-
dc.rightsThe definitive version is available at www.blackwell-synergy.com-
dc.subjectIPF-
dc.subjectCensus data-
dc.subjectRandom error effect-
dc.titleThe reliability of using the iterative proportional fitting procedureen_US
dc.typeArticleen_US
dc.identifier.emailWong, WSD: dwong2@hku.hk-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/j.0033-0124.1992.00340.x-
dc.identifier.volume44-
dc.identifier.issue3-
dc.identifier.spage340-
dc.identifier.epage348-
dc.identifier.isiWOS:A1992JJ22200009-
dc.publisher.placeUnited States-

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