Diagnostic In Spline Regression Model With Heteroscedasticity

  • Lee, In-Suk (Dept. Statistics, Kyungpook National University) ;
  • Jung, Won-Tae (Dept. Statistics, Kyungpook National University) ;
  • Jeong, Hye-Jeong (Dept. Computer Science and Statistics, Pierson University)
  • Published : 1995.06.30

Abstract

We have consider the study of local influence for smoothing parameter estimates in spline regression model with heteroscedasticity. Practically, generalized cross-validation does not work well in the presence of heteroscedasticity. Thus we have proposed the local influence measure for generalized cross-validation estimates when errors are heteroscedastic. And we have examined effects of diagnostic by above measures through Hyperinflation data.

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