Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Examination of Multivariate Dependency Structure in Soil Parameters
A typical site investigation involves sampling for laboratory tests and a variety of field tests. In other words, it is common to measure more than two soil parameters. The literature is replete with correlation equations between two soil parameters. Consistent synthesis of more than two soil parameters through construction of a multivariate probability distribution function is rare, despite obvious practical usefulness of such an approach. This paper examines the feasibility of modifying the well known multivariate normal distribution to model the dependency structure of soil parameters in two databases.
Examination of Multivariate Dependency Structure in Soil Parameters
A typical site investigation involves sampling for laboratory tests and a variety of field tests. In other words, it is common to measure more than two soil parameters. The literature is replete with correlation equations between two soil parameters. Consistent synthesis of more than two soil parameters through construction of a multivariate probability distribution function is rare, despite obvious practical usefulness of such an approach. This paper examines the feasibility of modifying the well known multivariate normal distribution to model the dependency structure of soil parameters in two databases.
Examination of Multivariate Dependency Structure in Soil Parameters
Phoon, Kok-Kwang (Autor:in) / Ching, Jianye (Autor:in) / Huang, Hongwei (Autor:in)
GeoCongress 2012 ; 2012 ; Oakland, California, United States
GeoCongress 2012 ; 2952-2960
29.03.2012
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Examination of Multivariate Dependency Structure in Soil Parameters
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