URI | http://purl.tuc.gr/dl/dias/77D1EF06-27AD-4AEF-96F1-8BBBAAC51FDB | - |
Identifier | https://doi.org/10.1007/s10479-021-04306-7 | - |
Identifier | https://link.springer.com/article/10.1007/s10479-021-04306-7 | - |
Language | en | - |
Extent | 6 pages | en |
Title | Preface: regression methods based on OR techniques and computational aspects in management, economics and finance | en |
Creator | Benkraiem, Ramzi | en |
Creator | Zopounidis Konstantinos | en |
Creator | Ζοπουνιδης Κωνσταντινος | el |
Publisher | Springer | en |
Content Summary | The aim of this special issue on “Regression Methods Based on OR Techniques and Computational Aspects in Management, Economics and Finance” of Annals of Operations Research, is to accomplish a wide dissemination of innovative contributions and applications of regression methods based on OR tools and their combination with computational aspects in real-life problems for the benefit of the community of both researchers and practitioners. | en |
Type of Item | Εισαγωγή Επιμελητή | el |
Type of Item | Editorial | en |
License | http://creativecommons.org/licenses/by/4.0/ | en |
Date of Item | 2022-09-29 | - |
Date of Publication | 2021 | - |
Subject | Regression analysis | en |
Subject | OR techniques and computational aspects | en |
Subject | Management | en |
Subject | Economics | en |
Subject | Finance | en |
Bibliographic Citation | R. Benkraiem and C. Zopounidis, “Preface: regression methods based on OR techniques and computational aspects in management, economics and finance,” Ann. Oper. Res., vol. 306, no. 1–2, pp. 1–6, Nov. 2021, doi: 10.1007/s10479-021-04306-7. | en |