Communications for Statistical Applications and Methods

  • 제10권2호
  • /
  • Pages.519-524
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  • 2003
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  • 2287-7843(pISSN)
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  • 2383-4757(eISSN)
한국통계학회 (The Korean Statistical Society)
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Detection of Outliers in Constrained Regression

  • 발행 : 2003.08.01
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초록

We suggest a method of identifying outliers, using local influence, in regression when linear constraints are imposed on the regression coefficients. An example is given for illustration.

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참고문헌

  1. Outliers in Statistical Data(3rd ed.) Barnett,V.;Lewis,T.
  2. Sensitivity Analysis in Linear Regression Chatterji,S.;Hadi,A.S.
  3. Journal of the Royal Statistical Society, Series B v.48 Assessment of local influence (with discussions) Cook,R.D.
  4. Residuals and Influence in Regression Cook,R.D.;Weisberg,S.
  5. Applied Linear regression Models(3rd ed.) Neter,J.;Kutner,M.H.;Nachtsheim,C.J.;Wasserman,W.
  6. Communications in Statistics: Theory and Methods v.30 Regression diagnostics using local influence : a review Rancel,M.M.S.;Sierra,M.A.G. https://doi.org/10.1081/STA-100002258
  7. Linear Regression Analysis Seber.G.A.F.