Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/27171

TitleChange-point analysis in environmental time series
Author(s)Gonçalves, A. Manuela
Costa, Marco
Teixeira, Lara
KeywordsChange-point analysis
SIC
Autocorrelation
Seasonality
Mean and variance shift
Issue dateJul-2013
PublisherStatistical Modelling Society
Abstract(s)Change-points are present in many environmental time series. Time variations in environmental data are complex and they can hinder the identi - cation 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.
TypeConference paper
URIhttp://hdl.handle.net/1822/27171
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CMAT - Artigos em atas de conferências e capítulos de livros com arbitragem / Papers in proceedings of conferences and book chapters with peer review

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