Comparison of Change-point Estimators with Scores

  • 김재희 (덕성여자대학교 통계학과) ;
  • 서현주 (덕성여자대학교 통계학과)
  • Published : 2002.04.30

Abstract

We consider the problem of estimating the change-point in mean change model with the one change-point. Lombard (1987) suggested change-point estimation based on score functions. Gombay and Huskova (1998) derived a class of change-point estimators with the score function of rank. Various change-point estimators with the log score functions of ranks are suggested and compared via simulation.

Keywords

References

  1. The Annals of Statistics v.16 Nonparametric Changepoint Estimation Carlstein, E.
  2. Theory of Probability and Its Applications v.21 A Non-parametric Method for the a Posteriori Detection of the 'Disorder' Time of a Sequence of Independent Random Variables Darkhovsh, B. S.
  3. Journal of Statistical Planning and Inference v.67 Rank based Estimators of the Change-point Gombay, E.;Huskova, M.
  4. Communications in Statistics v.15 A simple Least Squared Method for Estimating a Change Point in Mean Hawkins, D. L.
  5. Biometrika v.57 Inference about the Change-point in a Sequence of Random Variables Hinkley, D. V.
  6. Biometrika v.74 Rank Tests for Changepoint Problems Lombard, F.
  7. Applied Statistics v.28 A Nonparametic Approach to the Change Problem Pettit, A. N.
  8. Communications in Statistics v.11 A Nonparametric Test for Detecting Changes in Location Schechtman, E.