Constructing joint distributions of multivariate geotechnical data

Jianye Ching, Kok Kwang Phoon, Wen Chao Huang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations


This 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.

Original languageEnglish
Title of host publicationGeoRisk 2011
Subtitle of host publicationGeotechnical Risk Assessment and Management - Proceedings of the GeoRisk 2011 Conference
Number of pages8
Edition224 GSP
StatePublished - 2011
EventGeoRisk 2011: Geotechnical Risk Assessment and Management - Atlanta, GA, United States
Duration: 26 Jun 201128 Jun 2011

Publication series

NameGeotechnical Special Publication
Number224 GSP
ISSN (Print)0895-0563


ConferenceGeoRisk 2011: Geotechnical Risk Assessment and Management
Country/TerritoryUnited States
CityAtlanta, GA


  • Data analysis
  • Geohazards
  • Uncertainty principles


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