Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/32084
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRupp, Thomasen_US
dc.date.accessioned2005-12-12en_US
dc.date.accessioned2010-05-14T11:57:19Z-
dc.date.available2010-05-14T11:57:19Z-
dc.date.issued2005en_US
dc.identifier.urihttp://hdl.handle.net/10419/32084-
dc.description.abstractWe study the applicability of the pattern recognition methodology rough set data analysis (RSDA) in the field of meta analysis. We give a summary of the mathematical and statistical background and then proceed to an application of the theory to a meta analysis of empirical studies dealing with the deterrent effect introduced by Becker and Ehrlich. Results are compared with a previously devised meta regression analysis. We find that the RSDA can be used to discover information overlooked by other methods, to preprocess the data for further studying and to strengthen results previously found by other methods.
dc.language.isoeng
dc.publisher|aTechnische Universität Darmstadt, Institut für Volkswirtschaftslehre |cDarmstadt
dc.relation.ispartofseries|aDarmstadt Discussion Papers in Economics|x157
dc.subject.jelK14en_US
dc.subject.jelK42en_US
dc.subject.jelC49en_US
dc.subject.ddc330
dc.subject.keywordrough data seten_US
dc.subject.keywordRSDAen_US
dc.subject.keywordmeta analysisen_US
dc.subject.keyworddata miningen_US
dc.subject.keywordpattern recognitionen_US
dc.subject.keyworddeterrenceen_US
dc.subject.keywordcriminometricsen_US
dc.titleRough set methodology in meta-analysis: a comparative and exploratory analysis
dc.typeWorking Paper
dc.identifier.ppn504362275en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen
dc.identifier.repecRePEc:zbw:darddp:dar_36791-

Files in This Item:
File
Size





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