Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
권호 표지

Detecting Multiple Outliers Using the Gaps of Order Statistics

  • Kim, Hyun Chul (Department of Computer Science and Statistics, Kunsan National University, Kunsan, 573-701, KOREA)
  • Published : 1995.12.01
Download PDF
⟨ Previous Next ⟩

Abstract

An objective and one-step detection procedure of multiple outliers is suggested by using the gaps of the order statistics. The detection procedure can be used as a routine outlier detection method of a statistical analysis computer program. The procedure is applied to some examples including the data selected by Kitagawa.

Keywords

References

  1. Outliers in Statistical Data(3rd ed.) Barnett,V.;Lewis,T.
  2. Technometrics v.25 no.2 Outlier . . . . . . . s Beckman,R.J.;Cook,R.D.
  3. Biometrics v.9 Processing Data for Outliers Dixon,W.J.
  4. Biometrics v.31 Detecting Outliers II. Supplementing the Direct Analysis of Residuals Gentleman,J.F.;Wilk,M.B.
  5. Technometrics v.11 Procedures for Detecting Outlying Observations in Samples Grubbs,F.E.
  6. Technometrics v.21 On the Use of AIC for the Detection of Outliers Kitagawa,G.
  7. Applied Statistics v.27 Examination of the Behaviour of Tests for Outliers when More than One Outlier is present Prescott,P.
  8. Technometrics v.19 Percentage Points for the RST Many Outlier Procedure Rosner,B.
  9. Technometrics v.14 Some Grubbs-Type Statistics for the Detection of Several Outliers Tietjen,G.L.;Moore,R.H.
  10. Technometrics v.21 Corrigendum to Some Grubbs-type Statistics for the Detection of Several Outliers Tietjen,G.L.;Moore,R.H.
  11. Mathematical Statistics Wilks,S.S.