Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/11738
Title: Change-point analysis in environmental time series
Author: Gonçalves, A. Manuela
Costa, Marco
Teixeira, Lara
Keywords: Change-point analysis
SIC
Autocorrelation
Seasonality
Mean and variance shift
Issue Date: Jul-2013
Publisher: Vito M.R. Muggeo, Vincenza Capursi, Giovanni Boscaino, Gianfranco Lovison
Abstract: Change-points are present in many environmental time series. Time variations in environmental data are complex and they can hinder the identification of the so-called change-points when traditional models are applied to this type of problems. In this study, it is proposed an alternative approach for the application of the change-point analysis by taking into account this data structure (seasonality and autocorrelation) based on the Schwarz Information Criterion (SIC). The approach was applied to time series of surface water quality variables measured at eight monitoring sites
Peer review: yes
URI: http://hdl.handle.net/10773/11738
ISBN: 978-88-96251-47-8
Appears in Collections:ESTGA - Comunicações

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