Publicação
Change-point analysis in environmental time series
| Resumo: | 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. |
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| Autores principais: | Gonçalves, A. Manuela |
| Outros Autores: | Costa, Marco; Teixeira, Lara |
| Assunto: | Change-point analysis SIC Autocorrelation Seasonality Mean and variance shift |
| Ano: | 2013 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| Resumo: | 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. |
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