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

Rupp, Thomas :
Rough set methodology in meta-analysis - a comparative and exploratory analysis.
In: Darmstadt Discussion Papers in Economics, 157. Darmstadt
[Report], (2005)

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Item Type: Report
Title: Rough set methodology in meta-analysis - a comparative and exploratory analysis
Language: English
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.

Series Name: Darmstadt Discussion Papers in Economics
Volume: 157
Place of Publication: Darmstadt
Uncontrolled Keywords: Rough Data Set, RSDA, Meta Analysis, Data Mining, Pattern Recognition, Deterrence, Criminometrics
Classification DDC: 300 Sozialwissenschaften > 330 Wirtschaft
Divisions: 01 Law and Economics
01 Law and Economics > Volkswirtschaftliche Fachgebiete
Date Deposited: 22 Oct 2009 07:44
Last Modified: 29 Jan 2016 09:36
URN: urn:nbn:de:tuda-tuprints-47742
Additional Information:

JEL - Classification : K14, K42, C49

Additional Information:

JEL - Classification : K14, K42, C49

URI: http://tuprints.ulb.tu-darmstadt.de/id/eprint/4774
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