Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Diagnostic for Smoothing Parameter Estimate in Nonparametric Regression Model

  • In-Suk Lee (Dept, of Statistics, Kyungpook National Univ. in Taeju, KOREA) ;
  • Won-Tae Jung (Dept. of Statistics, Kyungpook National Univ. in Taegu, KOREA)
  • Published : 1995.12.01
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Abstract

We have considered the study of local influence for smoothing parameter estimates in nonparametric regression model. Practically, generalized cross validation(GCV) does not work well in the presence of data perturbation. Thus we have proposed local influence measures for GCV estimates and examined effects of diagnostic by above measures.

Keywords

References

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