000004493 001__ 4493
000004493 005__ 20141118192700.0
000004493 0177_ $$2doi$$a10.3850/978-981-07-2219-7_P147

000004493 0247_ $$210.3850/978-981-07-2219-7_P147
$$adoi
000004493 04107 $$aeng
000004493 046__ $$k2012-05-23
000004493 100__ $$aKim, Hyun-Ki
000004493 24500 $$aApplication of Statistical Geo-Sapatial Information Analyses to Outlier Detection

000004493 24630 $$n5.$$pProceedings of the 5th Asian-Pacific Symposium on Structural Reliability and its Applications
000004493 260__ $$bResearch Publishing, No:83 Genting Lane, #08-01, Genting Building, 349568 SINGAPORE
000004493 506__ $$arestricted
000004493 520__ $$2eng$$aSubsurface 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.

000004493 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000004493 653__ $$aSpatial variability, Geostatistics, Extreme value distribution, Engineering decision.

000004493 7112_ $$a5th Asian-Pacific Symposium on Structural Reliability and its Applications$$cSingapore (SG)$$d2012-05-23 / 2012-05-25$$gAPSSRA2012
000004493 720__ $$aKim, Hyun-Ki$$iShin, Si-Yeol
000004493 8560_ $$ffischerc@itam.cas.cz
000004493 8564_ $$s2950629$$uhttps://invenio.itam.cas.cz/record/4493/files/P147.pdf$$yOriginal version of the author's contribution as presented on CD, .
000004493 962__ $$r4180
000004493 980__ $$aPAPER