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Recent studies on risk analysis and statistical modeling

This book provides an overview of the latest developments in the field of risk analysis (RA). Statistical methodologies have long-since been employed as crucial decision support tools in RA. Thus, in the context of this new century, characterized by a variety of daily risks - from security to health...

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Detalles Bibliográficos
Autores principales: Oliveira, Teresa, Kitsos, Christos, Oliveira, Amílcar, Grilo, Luís
Lenguaje:eng
Publicado: Springer 2018
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-76605-8
http://cds.cern.ch/record/2638863
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author Oliveira, Teresa
Kitsos, Christos
Oliveira, Amílcar
Grilo, Luís
author_facet Oliveira, Teresa
Kitsos, Christos
Oliveira, Amílcar
Grilo, Luís
author_sort Oliveira, Teresa
collection CERN
description This book provides an overview of the latest developments in the field of risk analysis (RA). Statistical methodologies have long-since been employed as crucial decision support tools in RA. Thus, in the context of this new century, characterized by a variety of daily risks - from security to health risks - the importance of exploring theoretical and applied issues connecting RA and statistical modeling (SM) is self-evident. In addition to discussing the latest methodological advances in these areas, the book explores applications in a broad range of settings, such as medicine, biology, insurance, pharmacology and agriculture, while also fostering applications in newly emerging areas. This book is intended for graduate students as well as quantitative researchers in the area of RA.
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spelling cern-26388632021-04-21T18:43:12Zdoi:10.1007/978-3-319-76605-8http://cds.cern.ch/record/2638863engOliveira, TeresaKitsos, ChristosOliveira, AmílcarGrilo, LuísRecent studies on risk analysis and statistical modelingMathematical Physics and MathematicsThis book provides an overview of the latest developments in the field of risk analysis (RA). Statistical methodologies have long-since been employed as crucial decision support tools in RA. Thus, in the context of this new century, characterized by a variety of daily risks - from security to health risks - the importance of exploring theoretical and applied issues connecting RA and statistical modeling (SM) is self-evident. In addition to discussing the latest methodological advances in these areas, the book explores applications in a broad range of settings, such as medicine, biology, insurance, pharmacology and agriculture, while also fostering applications in newly emerging areas. This book is intended for graduate students as well as quantitative researchers in the area of RA.Springeroai:cds.cern.ch:26388632018
spellingShingle Mathematical Physics and Mathematics
Oliveira, Teresa
Kitsos, Christos
Oliveira, Amílcar
Grilo, Luís
Recent studies on risk analysis and statistical modeling
title Recent studies on risk analysis and statistical modeling
title_full Recent studies on risk analysis and statistical modeling
title_fullStr Recent studies on risk analysis and statistical modeling
title_full_unstemmed Recent studies on risk analysis and statistical modeling
title_short Recent studies on risk analysis and statistical modeling
title_sort recent studies on risk analysis and statistical modeling
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-76605-8
http://cds.cern.ch/record/2638863
work_keys_str_mv AT oliveirateresa recentstudiesonriskanalysisandstatisticalmodeling
AT kitsoschristos recentstudiesonriskanalysisandstatisticalmodeling
AT oliveiraamilcar recentstudiesonriskanalysisandstatisticalmodeling
AT griloluis recentstudiesonriskanalysisandstatisticalmodeling