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
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 International Conference on Computational Science and Engineering(ICCSE 2017)
Part of series
Advances in Computer Science Research
Publication Date
July 2017
ISBN
978-94-6252-404-0
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccse-17.2017.8How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

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  - 2017 International Conference on Computational Science and Engineering(ICCSE 2017)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-17.2017.8
DO  - https://doi.org/10.2991/iccse-17.2017.8
ID  - Xiao2017/07
ER  -