Volume 39 Issue 9
Sep.  2013
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Wang Huiwen, Xia Bang, Meng Jieet al. Fast algorithm of Gram-Schmidt regression method[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(9): 1259-1262,1268. (in Chinese)
Citation: Wang Huiwen, Xia Bang, Meng Jieet al. Fast algorithm of Gram-Schmidt regression method[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(9): 1259-1262,1268. (in Chinese)

Fast algorithm of Gram-Schmidt regression method

  • Received Date: 09 Nov 2012
  • Publish Date: 30 Sep 2013
  • A new multiple linear regression method was proposed which can screen the variables fast. In the modeling process, not only can it screen variables containing best information to explain the dependent variable, but also distinguish and test redundant variables in the model based on Gram-Schmidt orthogonal transformation, so as to timely strike out all the redundant information in quantity. The simulation analysis shows that compared to classic stepwise regression this new method has a higher arithmetic speed and the modeling process is briefer and more efficient, when the variables appear in a large quantity and have a pretty serious server multicollinearity at the same time.

     

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