Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4375117 | Ecological Informatics | 2011 | 8 Pages |
Abstract
⺠Assumptions about unknown measurement variability affects posterior parameter distribution. ⺠This may lead to false parameter dependencies and uncertainty quantifications. ⺠Small data values are privileged by methods estimating missing standard variations and can lead to model underestimations. ⺠Inclusion of a model error term did improve model agreement and parameter posteriors.
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Authors
Karl-Heinz Rahn, Klaus Butterbach-Bahl, Christian Werner,