Efficient and robust scale estimation for trended time series

نویسندگان

  • Derya Caliskan
  • Christophe Croux
  • Sarah Gelper
چکیده

This paper presents a newmethod for robust online variability extraction in time series. The proposed estimator is simultaneously highly robust and efficient.We derive its breakdown point, influence function, and asymptotic variance and study the finite sample properties in a simulation study. © 2009 Elsevier B.V. All rights reserved.

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تاریخ انتشار 2017