Drezner, Zvi, Marcoulides, George A., Salhi, Said (1999) Tabu Search Model Selection in Multiple Regression Analysis. Communication in Statistics: Simulation and Computation, 28 (2). pp. 349-367. ISSN 0361-0918. (doi:10.1080/03610919908813553) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:5230)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
| Official URL: https://doi.org/10.1080/03610919908813553 |
Abstract
This paper introduces an alternative variable selection method for use in regression analysis that is based on the Tabu search procedure. The Tabu search was compared to traditional regression analysis procedures using various size data sets. The results indicate the superiority of the Tabu search procedure for model selection in multiple regression analysis.
| Item Type: | Article |
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| DOI/Identification number: | 10.1080/03610919908813553 |
| Uncontrolled keywords: | multiple regression; Tabu search; model selection |
| Subjects: | H Social Sciences |
| Divisions: | Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems |
| Depositing User: | Said Salhi |
| Date Deposited: | 13 Jun 2009 14:24 UTC |
| Last Modified: | 05 Nov 2024 09:37 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/5230 (The current URI for this page, for reference purposes) |
University of Kent Author Information
Salhi, Said.
| Creator's ORCID: |
 https://orcid.org/0000-0002-3384-5240
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