Authors: Croux, Christophe
Gather, Ursula
Gelper, Sarah
Schettlinger, Karen
Title: Robust online scale estimation in time series
Language (ISO): en
Abstract: This paper presents variance extraction procedures for univariate time series. The volatility of a times series is monitored allowing for non-linearities, jumps and outliers in the level. The volatility is measured using the height of triangles formed by consecutive observations of the time series. This idea was proposed by Rousseeuw and Hubert (1996, Regression-free and robust estimation of scale for bivariate data, Computational Statistics and Data Analysis, 21, 67{85) in the bivariate setting. This paper extends their procedure to apply for online scale estimation in time series analysis. The statistical properties of the new methods are derived and finite sample properties are given. A financial and a medical application illustrate the use of the procedures.
Subject Headings: Breakdown point
Influence function
Online monitoring
Outliers
Robust scale estimation
URI: http://hdl.handle.net/2003/24318
http://dx.doi.org/10.17877/DE290R-15812
Issue Date: 2007-05-25T12:39:28Z
Appears in Collections:Sonderforschungsbereich (SFB) 475

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