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Preface: regression methods based on OR techniques and computational aspects in management, economics and finance

Benkraiem, Ramzi, Zopounidis Konstantinos

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URIhttp://purl.tuc.gr/dl/dias/77D1EF06-27AD-4AEF-96F1-8BBBAAC51FDB-
Identifierhttps://doi.org/10.1007/s10479-021-04306-7-
Identifierhttps://link.springer.com/article/10.1007/s10479-021-04306-7-
Languageen-
Extent6 pagesen
TitlePreface: regression methods based on OR techniques and computational aspects in management, economics and financeen
CreatorBenkraiem, Ramzien
CreatorZopounidis Konstantinosen
CreatorΖοπουνιδης Κωνσταντινοςel
PublisherSpringeren
Content SummaryThe 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 ItemΕισαγωγή Επιμελητήel
Type of ItemEditorialen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2022-09-29-
Date of Publication2021-
SubjectRegression analysisen
SubjectOR techniques and computational aspectsen
SubjectManagementen
SubjectEconomicsen
SubjectFinanceen
Bibliographic CitationR. 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

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