Cargando…
On the use of Bayesian decision theory for issuing natural hazard warnings
Warnings for natural hazards improve societal resilience and are a good example of decision-making under uncertainty. A warning system is only useful if well defined and thus understood by stakeholders. However, most operational warning systems are heuristic: not formally or transparently defined. B...
Autores principales: | Economou, T., Stephenson, D. B., Rougier, J. C., Neal, R. A., Mylne, K. R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5095440/ https://www.ncbi.nlm.nih.gov/pubmed/27843399 http://dx.doi.org/10.1098/rspa.2016.0295 |
Ejemplares similares
-
Risk and uncertainty assessment for natural hazards /
por: Rougier, Jonathan
Publicado: (2013) -
Editorial: Early warning systems for pandemics: Lessons learned from natural hazards
por: Fearnley, Carina J., et al.
Publicado: (2020) -
Statistical decision theory and Bayesian analysis
por: Berger, James O
Publicado: (1985) -
Factors that influence occupational physicians’ decision to issue an employer warning in Japan
por: Ito, Naoto, et al.
Publicado: (2020) -
Municipalities' Preparedness for Weather Hazards and Response to Weather Warnings
por: Mehiriz, Kaddour, et al.
Publicado: (2016)