A Statistical Modeling Framework for Characterising Uncertainty in Large Datasets: Application to Oc...
A Statistical Modeling Framework for Characterising Uncertainty in Large Datasets: Application to Ocean Colour
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Uncertainty estimation is crucial to establishing confidence in any data analysis, and this is especially true for Essential Climate Variables, including ocean colour. Methods for deriving uncertainty vary greatly across data types, so a generic statistics-based approach applicable to multiple data types is an advantage to simplify the use and unde...
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A Statistical Modeling Framework for Characterising Uncertainty in Large Datasets: Application to Ocean Colour
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TN_cdi_doaj_primary_oai_doaj_org_article_debcdd9356a9414dbaa2722a801925af
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_debcdd9356a9414dbaa2722a801925af
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs10050695
