Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Outlier Identification in Regression Analysis using Projection Pursuit

  • Kim, Hyojung (Department of Statistics, Sungkyunkwan University) ;
  • Park, Chongsun (Department of Statistics, Sungkyunkwan University)
  • Published : 2000.12.01
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Abstract

In this paper, we propose a method to identify multiple outliers in regression analysis with only assumption of smoothness on the regression function. Our method uses single-linkage clustering algorithm and Projection Pursuit Regression (PPR). It was compared with existing methods using several simulated and real examples and turned out to be very useful in regression problem with the regression function which is far from linear.

Keywords

References

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