Communications for Statistical Applications and Methods

  • 제19권3호
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  • Pages.423-432
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  • 2012
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  • 2287-7843(pISSN)
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  • 2383-4757(eISSN)
한국통계학회 (The Korean Statistical Society)
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Multiple Structural Change-Point Estimation in Linear Regression Models

  • Kim, Jae-Hee (Department of Statistics, Duksung Women's University)
  • 투고 : 2012.02.16
  • 심사 : 2012.04.02
  • 발행 : 2012.05.31
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초록

This paper is concerned with the detection of multiple change-points in linear regression models. The proposed procedure relies on the local estimation for global change-point estimation. We propose a multiple change-point estimator based on the local least squares estimators for the regression coefficients and the split measure when the number of change-points is unknown. Its statistical properties are shown and its performance is assessed by simulations and real data applications.

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참고문헌

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