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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....
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6133026/ https://www.ncbi.nlm.nih.gov/pubmed/30159677 http://dx.doi.org/10.1007/s10661-018-6900-3 |