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dc.creatorSmith, Warwick
dc.date2004-12-31
dc.identifierhttps://bulletin.nzsee.org.nz/index.php/bnzsee/article/view/398
dc.identifier10.5459/bnzsee.37.4.149-155
dc.descriptionRisk management decisions often demand the allocation of scarce resources in mitigation of different hazards. A quantitative basis for decision-making can be provided by a detailed risk assessment, in which the current risk and those that obtain under proposed projects can be evaluated. The average annual loss, or expected value, is not a useful measure of extreme risk. The conditional expected value, calculated for a series of probability ranges, provides measures of the risk that can be assembled into a decision table so that informed decisions can be made. The conditional expected value can be calculated even when the losses are only available in terms of a cumulative probability function.en-US
dc.formatapplication/pdf
dc.languageeng
dc.publisherNew Zealand Society for Earthquake Engineeringen-US
dc.relationhttps://bulletin.nzsee.org.nz/index.php/bnzsee/article/view/398/380
dc.rightsCopyright (c) 2004 Warwick Smithen-US
dc.rightshttps://creativecommons.org/licenses/by/4.0en-US
dc.sourceBulletin of the New Zealand Society for Earthquake Engineering; Vol 37 No 4 (2004); 149-155en-US
dc.source2324-1543
dc.source1174-9857
dc.titleThe decision support model for risk managementen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeArticleen-US


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