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

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

Export

Metadata & Content in a METS Package:

Metadata in Format: