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Statistical models for evaluating suspected artefacts in long-term environmental monitoring data

Long-term water quality monitoring is of high value for environmental management as well as for research. Artificial level shifts in time series due to method improvements, flaws in laboratory practices or changes in laboratory are a common limitation for analysis, which, however, are often ignored....

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:Environ Monit Assess
Hauptverfasser: von Brömssen, Claudia, Fölster, Jens, Futter, Martyn, McEwan, Kerstin
Format: Artigo
Sprache:Inglês
Veröffentlicht: Springer International Publishing 2018
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6133026/
https://ncbi.nlm.nih.gov/pubmed/30159677
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10661-018-6900-3
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