Application of Regression Analysis for Small Samples Based on Bootstrap Method

DOI

10.2991/emcs-16.2016.200How to use a DOI?

Keywords

Multivariate regression analysis; Bootstrap method; Least square method; Regressive coefficients; Small samples

Abstract

Giving bootstrap method of estimation based on multivariate regression analysis when representation of samples are small, the changing multivariate regression equation by bootstrap method of estimation is used as academic multivariate regression equation, and discussing process of bootstrap samples, repeat numbers, principle of bootstrap method of estimation. By bootstrap samples, giving estimate of regressive coefficients, and evaluating validity of bootstrap method of estimation with binomial regression model, in the end, extending the bootstrap method to non-linear regression model.

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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TY  - CONF
AU  - Shibo Xin
AU  - Bing Ren
PY  - 2016/01
DA  - 2016/01
TI  - Application of Regression Analysis for Small Samples Based on Bootstrap Method
BT  - Proceedings of the 2016 International Conference on Education, Management, Computer and Society
PB  - Atlantis Press
SP  - 816
EP  - 819
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-16.2016.200
DO  - 10.2991/emcs-16.2016.200
ID  - Xin2016/01
ER  -