Accounting for correlational structures in stochastic comparative life cycle assessments through copula modeling

The presence of correlations between input parameters in a life cycle assessment (LCA) is a well-known issue. On top of that, the univariate distribution of environmental indicators, in most cases, does not follow the Gaussian nor the lognormal distribution. In this article, we introduce the copula...

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Autores:
Tipo de recurso:
Article of journal
Fecha de publicación:
2021
Institución:
Universidad de Bogotá Jorge Tadeo Lozano
Repositorio:
Expeditio: repositorio UTadeo
Idioma:
eng
OAI Identifier:
oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/28016
Acceso en línea:
https://link.springer.com/article/10.1007/s11367-020-01859-w
http://hdl.handle.net/20.500.12010/28016
http://expeditiorepositorio.utadeo.edu.co
Palabra clave:
Accounting for correlational structures
Copula modeling
Minería de datos
Estadística
Ciclos
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