Application of Change-Point Detection to a Structural Component of Water Quality Variables
Year: 2011
Type: conference-paper
Abstract: In this study were developed methodologies in statistical time series models, such as multivariate state‐space models, to be applied to water quality variables in a river basin. In the modelling process is considered a latent variable that allows incorporating a structural component, such as seasonality, in a dynamic way. A change‐point detection method is applied to the structural component in order to identify possible changes in the water quality variables in consideration.
Source: AIP conference proceedings
DOI: 10.1063/1.3637928
Institutions: University of Minho, University of Lisbon, University of Aveiro
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2033425927