Variable Selection Based on Direction Vectors

  • Kyungmee Choi (Asistant Professor, Department of mathematics, Hongik University)
  • Published : 1998.04.01

Abstract

We review a multivariate version of Kendall's tau based on direction vectors of observations. And with this statistic we propose an analog of the forward variable selection method which selects a set of independent variables for further studies to build the eventual predicting model. This method does not assume the distributions of observations and the linear model and it is strong to the outliers with high asymptotic efficiencies relative to the parametric Pearson's correlation coefficient.

Keywords

References

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