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Rough set methodology in meta-analysis - a comparative and exploratory analysis

Rupp, Thomas (2009)
Rough set methodology in meta-analysis - a comparative and exploratory analysis.
Report, Erstveröffentlichung

Kurzbeschreibung (Abstract)

We 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.

Typ des Eintrags: Report
Erschienen: 2009
Autor(en): Rupp, Thomas
Art des Eintrags: Erstveröffentlichung
Titel: Rough set methodology in meta-analysis - a comparative and exploratory analysis
Sprache: Englisch
Publikationsjahr: 2009
Ort: Darmstadt
Reihe: Darmstadt Discussion Papers in Economics
Band einer Reihe: 157
URL / URN: http://tuprints.ulb.tu-darmstadt.de/4774
Kurzbeschreibung (Abstract):

We 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.

Freie Schlagworte: Rough Data Set, RSDA, Meta Analysis, Data Mining, Pattern Recognition, Deterrence, Criminometrics
URN: urn:nbn:de:tuda-tuprints-47742
Zusätzliche Informationen:

JEL - Classification : K14, K42, C49; Erstellt November 2005

Sachgruppe der Dewey Dezimalklassifikatin (DDC): 300 Sozialwissenschaften > 330 Wirtschaft
Fachbereich(e)/-gebiet(e): 01 Fachbereich Rechts- und Wirtschaftswissenschaften
01 Fachbereich Rechts- und Wirtschaftswissenschaften > Volkswirtschaftliche Fachgebiete
Hinterlegungsdatum: 31 Jan 2016 20:56
Letzte Änderung: 25 Okt 2023 09:08
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