Application of Statistical Geo-Sapatial Information Analyses to Outlier Detection
Abstract eng: Subsurface investigation results with a level of soil uncertainty require statistical corrections for more appropriate engineering decision. This study suggests a closed-form framework to detect the outlying data points from the whole testing results using the statistical geo-spatial information analyses with generalized extreme value distribution based outlier detection method. The suggested method is conducted to soil stratification with the boring data gathered in Seoul, Korea. Based on the example study, least reliable data points can be selected with quantitative evaluation of data reliability.
Contributors:
Publisher:
Research Publishing, No:83 Genting Lane, #08-01, Genting Building, 349568 SINGAPORE
Conference Title:
Conference Title:
5th Asian-Pacific Symposium on Structural Reliability and its Applications
Conference Venue:
Singapore (SG)
Conference Dates:
2012-05-23 / 2012-05-25
Rights:
Text je chráněný podle autorského zákona č. 121/2000 Sb.
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Record created 2014-11-18, last modified 2014-11-18
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