Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)

The Best Screen Analysis of Small Sample Multivariate Gradation Regression in Statistical Research

Authors
Xiaonan Xiao
Corresponding Author
Xiaonan Xiao
Available Online July 2017.
DOI
10.2991/iccse-17.2017.8How to use a DOI?
Keywords
Small sample, Gradation regression, Screen, Significance level, Critical value
Abstract

Gradation regression analysis generally needs adequate samples from which we can obtain more reliable statistical results. However, in some statistical analysis, owing to some practical difficulties, we cannot obtain satisfactory observation numbers of indexes. Therefore, this article makes use of screen method of gradation regression by stages and in batches and deals with this kind of problem successfully. The practical use shows that the effect is satisfactory.

Copyright
© 2017, 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 2017 International Conference on Computational Science and Engineering (ICCSE 2017)
Series
Advances in Computer Science Research
Publication Date
July 2017
ISBN
10.2991/iccse-17.2017.8
ISSN
2352-538X
DOI
10.2991/iccse-17.2017.8How to use a DOI?
Copyright
© 2017, 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  - Xiaonan Xiao
PY  - 2017/07
DA  - 2017/07
TI  - The Best Screen Analysis of Small Sample Multivariate Gradation Regression in Statistical Research
BT  - Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)
PB  - Atlantis Press
SP  - 40
EP  - 43
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-17.2017.8
DO  - 10.2991/iccse-17.2017.8
ID  - Xiao2017/07
ER  -