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Tabu Search Model Selection in Multiple Regression Analysis

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. (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. (Contact us about this Publication)

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
Uncontrolled keywords: multiple regression; Tabu search; model selection
Subjects: H Social Sciences
Divisions: Faculties > Social Sciences > Kent Business School > Management Science
Faculties > Social Sciences > Kent Business School > Centre for Logistics and Heuristic Organisation (CLHO)
Depositing User: Said Salhi
Date Deposited: 13 Jun 2009 14:24 UTC
Last Modified: 08 Feb 2020 04:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/5230 (The current URI for this page, for reference purposes)
Salhi, Said: https://orcid.org/0000-0002-3384-5240
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