time series outlier detection: a new non parametric methodology (washer)

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ID: 222887
2013
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Abstract
The production and exploitation of statistical data for a large amount of high frequency time series must allow a timely use of data ensuring a minimum quality standard. This work provides a new outlier detection methodology (washer): efficient for timesaving elaboration and implementation procedures, adaptable for general assumptions and for needing very short time series, reliable and effective as involving robust non parametric test. Some simulations, a case study and a ready-to-use R-language function (washer.AV()) conclude the work.
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venturini2013statisticatime Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Andrea Venturini
Journal advances in mathematical physics
Year 2013
DOI
10.6092/issn.1973-2201/3617
URL
http://rivista-statistica.unibo.it/article/view/3617
Keywords
statistics

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