Rupp, Thomas (2009)
Rough set methodology in meta-analysis - a comparative and exploratory analysis.
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| Item Type: | Report |
|---|---|
| Type of entry: | Primary publication |
| Title: | Rough set methodology in meta-analysis - a comparative and exploratory analysis |
| Language: | English |
| Date: | 22 October 2009 |
| Place of Publication: | Darmstadt |
| Series: | Darmstadt Discussion Papers in Economics |
| Series Volume: | 157 |
| 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. |
| Uncontrolled Keywords: | Rough Data Set, RSDA, Meta Analysis, Data Mining, Pattern Recognition, Deterrence, Criminometrics |
| URN: | urn:nbn:de:tuda-tuprints-47742 |
| Additional Information: | JEL - Classification : K14, K42, C49; Erstellt November 2005 |
| Classification DDC: | 300 Social sciences > 330 Economics |
| Divisions: | 01 Department of Law and Economics 01 Department of Law and Economics > Volkswirtschaftliche Fachgebiete |
| Date Deposited: | 22 Oct 2009 07:44 |
| Last Modified: | 25 Oct 2023 09:08 |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/4774 |
| PPN: | 378322621 |
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