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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....
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| Pubblicato in: | Environ Monit Assess |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer International Publishing
2018
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| Soggetti: | |
| Accesso online: | 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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