Efficient and robust scale estimation for trended time series
2009-09-15
Article
volume 79, issue 18 pp 1900-1905.
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This paper presents a new method 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.
