Proceedings of the 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)

The Erroneous Application and Countermeasures of Return Analysis in Sports Research

Authors
Xiuying Han
Corresponding Author
Xiuying Han
Available Online October 2019.
DOI
10.2991/mbdasm-19.2019.6How to use a DOI?
Keywords
regression; sports research; application; wrong areas
Abstract

On the basis of widely reading papers published in the 13 core Chinese journals recently and with methods of literature review, expert interview and questionnaire, this paper points out the problem concerning regression in sports research, such as the model examination, the content of the case study, gradual regression and the invented variables. This paper also analyzes the problems and gives the right solutions to improve the application effect and provide a reference for further study in future.

Copyright
© 2019, 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 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)
Series
Advances in Computer Science Research
Publication Date
October 2019
ISBN
978-94-6252-811-6
ISSN
2352-538X
DOI
10.2991/mbdasm-19.2019.6How to use a DOI?
Copyright
© 2019, 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  - Xiuying Han
PY  - 2019/10
DA  - 2019/10
TI  - The Erroneous Application and Countermeasures of Return Analysis in Sports Research
BT  - Proceedings of the 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)
PB  - Atlantis Press
SP  - 26
EP  - 30
SN  - 2352-538X
UR  - https://doi.org/10.2991/mbdasm-19.2019.6
DO  - 10.2991/mbdasm-19.2019.6
ID  - Han2019/10
ER  -