S-WoPEc
 
Scandinavian Working Papers in Economics
HomeAboutSeriesSubject/JEL codesAdvanced Search
Department of Economics, Lund University Working Papers, Department of Economics, Lund University

No 2012:12:
Wavelet Based Outlier Correction for Power Controlled Turning Point Detection in Surveillance Systems

Yushu Li ()

Abstract: Detection turning points in unimodel has various applications to time series which have cyclic periods. Related techniques are widely explored in the field of statistical surveillance, that is, on-line turning point detection procedures. This paper will first present a power controlled turning point detection method based on the theory of the likelihood ratio test in statistical surveillance. Next we show how outliers will influence the performance of this methodology. Due to the sensitivity of the surveillance system to outliers, we finally present a wavelet multiresolution (MRA) based outlier elimination approach, which can be combined with the on-line turning point detection process and will then alleviate the false alarm problem introduced by the outliers.

Keywords: Unimodel; Turning point; Statistical Surveillance; Outlier; Wavelet multiresolution; Threshold; (follow links to similar papers)

JEL-Codes: C12; C52; C63; (follow links to similar papers)

15 pages, May 21, 2012

Before downloading any of the electronic versions below you should read our statement on copyright.
Download GhostScript for viewing Postscript files and the Acrobat Reader for viewing and printing pdf files.

Full text versions of the paper:

WP12_12.pdf    PDF-file
Download Statistics

Questions (including download problems) about the papers in this series should be directed to David Edgerton ()
Report other problems with accessing this service to Sune Karlsson () or Helena Lundin ().

Programing by
Design by Joachim Ekebom

Handle: RePEc:hhs:lunewp:2012_012 This page was generated on 2014-12-14 19:24:59