When correlation matters: a practical guide to dealing with uncertainty in the case of data disaggregation.

Correctly modeling the relationships between correlated, uncertain input data is crucial for producing accurate uncertainty estimates of model results. This requires both an uncertainty analysis that accounts for correlations and the appropriate communication of the results, so that other analysts c...

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Publicado en:	Journal of Industrial Ecology Vol. 30; no. 2; pp. 665 - 682
Autores principales:	Schulte, Simon, Jakobs, Arthur, Lupton, Rick
Formato:	Artículo
Publicado:	Springer Nature Apr2026
Materias:	Electronic data processing Industrial ecology Statistical correlation Uncertainty (Information theory) Maximum entropy method Input-output analysis Distribution (Probability theory)
Acceso en línea:	Ver este registro en EBSCOhost