Proceedings of the 2016 International Conference on Engineering Science and Management

2016 International Conference on Engineering Science and Management

📍Zhengzhou, China🗓️ 13-14 August 2016

Prognosis of Rail Transport Demand in The Slovak Republic

Authors
Jozef Danis, Anna Dolinayova, Juraj Camaj
Corresponding Author
Jozef Danis
Available Online August 2016.
DOI
10.2991/esm-16.2016.43How to use a DOI?
Keywords
Regression model, multicollinearity, demand management, railway transport, transport requirements, economic indicators
Abstract

Nowadays modern management cannot do without mathematical and statistical tools. Managers need a variety of market information, but they must have inside information about the company that will make their decisions relevant. This paper describes the possibility of creating a regression model of transport requirements in railway transport, depending on other economic indicators. It deals with the problem of multicollinearity among input parameters, which are needed for the creation of a prognosis.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Engineering Science and Management
Series
Advances in Engineering Research
Publication Date
August 2016
ISBN
978-94-6252-218-3
ISSN
2352-5401
DOI
10.2991/esm-16.2016.43How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jozef Danis
AU  - Anna Dolinayova
AU  - Juraj Camaj
PY  - 2016/08
DA  - 2016/08
TI  - Prognosis of Rail Transport Demand in The Slovak Republic
BT  - Proceedings of the 2016 International Conference on Engineering Science and Management
PB  - Atlantis Press
SP  - 187
EP  - 190
SN  - 2352-5401
UR  - https://doi.org/10.2991/esm-16.2016.43
DO  - 10.2991/esm-16.2016.43
ID  - Danis2016/08
ER  -