Please use this identifier to cite or link to this item: https://doi.org/10.1061/41183(418)125
DC FieldValue
dc.titleConstructing joint distributions of multivariate geotechnical data
dc.contributor.authorChing, J.
dc.contributor.authorPhoon, K.-K.
dc.contributor.authorHuang, W.-C.
dc.date.accessioned2014-06-19T09:18:07Z
dc.date.available2014-06-19T09:18:07Z
dc.date.issued2011
dc.identifier.citationChing, J.,Phoon, K.-K.,Huang, W.-C. (2011). Constructing joint distributions of multivariate geotechnical data. Geotechnical Special Publication (224 GSP) : 1141-1148. ScholarBank@NUS Repository. <a href="https://doi.org/10.1061/41183(418)125" target="_blank">https://doi.org/10.1061/41183(418)125</a>
dc.identifier.isbn9780784411834
dc.identifier.issn08950563
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/75112
dc.description.abstractThis paper presents easy-to-use tools for constructing joint distributions given multivariate geotechnical data. Two scenarios are addressed (a) complete multivariate data: the Iman-Conover method will be adopted; (b) incomplete multivariate data: the Bayes' net will be adopted. Examples of multivariate geotechnical data will be presented to illustrate the procedures for constructing the joint distributions under both scenarios and to demonstrate the practical uses of these joint distributions for the purpose of site characterization. © 2011 ASCE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1061/41183(418)125
dc.sourceScopus
dc.subjectData analysis
dc.subjectGeohazards
dc.subjectUncertainty principles
dc.typeConference Paper
dc.contributor.departmentCIVIL & ENVIRONMENTAL ENGINEERING
dc.description.doi10.1061/41183(418)125
dc.description.sourcetitleGeotechnical Special Publication
dc.description.issue224 GSP
dc.description.page1141-1148
dc.description.codenGSPUE
dc.identifier.isiutNOT_IN_WOS
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