• Changepoint Analysis by Modified Empirical Likelihood Method in Two-phase Linear Regression Models
  • DOI: 10.4236/ojapps.2013.31B1001   PP.1 - 6
  • Author(s)
  • Hualing Zhao, Hanfeng Chen, Wei Ning
  • ABSTRACT
  • A changepoint in statistical applications refers to an observational time point at which the structure pattern changes during a somewhat long-term experimentation process. In many cases, the change point time and cause are documented and it is reasonably straightforward to statistically adjust (homogenize) the series for the effects of the changepoint. Sadly many changepoint times are undocumented and the changepoint times themselves are the main purpose of study. In this article, the changepoint analysis in two-phrase linear regression models is developed and discussed. Following Liu and Qian (2010)'s idea in the segmented linear regression models, the modified empirical likelihood ratio statistic is proposed to test if there exists a changepoint during the long-term experiment and observation. The modified empirical likelihood ratio statistic is computation-friendly and its ρ-value can be easily approximated based on the large sample properties. The procedure is applied to the Old Faithful geyser eruption data in October 1980.

  • KEYWORDS
  • Changepoint; Extreme-Value Distribution; Modified Empirical Likelihood Ratio; Segmented Linear Regression
  • References
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Important Dates
Submission Due:
    December 11, 2013>>  February 16, 2014
Acceptance notification:
    February 26, 2014
Camera-ready due:
    February 10, 2014
Conference:
    April 16-18, 2014
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