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Parameter study on optimal sampling planning based on value of information

International Conference on Applications of Statistics and Probability (12th : 2015 : Vancouver, B.C.)

A Method for determining optimal observation placement in Gaussian random field is formulated based on Value of Information (VoI). The proposed method can reflect not only uncertainty but also the consequence of false decision-making. Optimal number of observation is also evaluated based on total cost which is sum of observation cost and VoI. The usefulness of the method is demonstrated through two kinds of numerical examples which are optimal placement with or without existing observation. Parameter study is performed with respect to autocorrelation distance assumed in the Gaussian field.

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This collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver.

Vancouver : University of British Columbia Library

10.14288/1.0076069

Non UBC

Unreviewed

http://creativecommons.org/licenses/by-nc-nd/2.5/ca/