Skip to main content
Log in

Selection of the linear regression model according to the parameter estimation

  • Published:
Wuhan University Journal of Natural Sciences

Abstract

In this paper, based on the theory of parameter estimation, we give a selection method and, in a sense of a good character of the parameter estimation, we think that it is very reasonable. Moreover, we offer a calculation method of selection statistic and an applied example.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Chen Xi-ru, Wang Song-gui.Modern Regression Analysis. Hefei: Anhui Education Press, 1987 (Ch).

    MATH  Google Scholar 

  2. Akaike H. A New Look at the Statistical Model Indentification.IEEE Trans Automatic control, 1974,19: 714–723.

    Google Scholar 

  3. Schwarz G. Estimating the Dimension of a Model.Ann statist, 1987,6: 416–44.

    Google Scholar 

  4. Wang Song-gui.Theory and Applications of Linear Model, Hefei: Anhui Education Press, 1987 (Ch).

    Google Scholar 

  5. Zhang Yao-ting, Fang Kai-tai.Introduction to Multivariate Statistical Analysis, Beijing: Science Press, 1997, 71–72 (Ch).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Foundation item: Supported by the Natural Science Foundation of Anhui Education Committee

Biography: Sun Dao-de (1957-), male, associate professor, research interes: theory and applications of mathematical statistics.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Dao-de, S. Selection of the linear regression model according to the parameter estimation. Wuhan Univ. J. Nat. Sci. 5, 400–405 (2000). https://doi.org/10.1007/BF02850764

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02850764

Key words

CLC number

Navigation