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Multiple Outlier Detection in Logistic Regression by Using Influence Matrix

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dc.contributor.advisor박성현-
dc.contributor.author이귀현-
dc.date.accessioned2009-12-15T01:23:47Z-
dc.date.available2009-12-15T01:23:47Z-
dc.date.copyright2006.-
dc.date.issued2006-
dc.identifier.urihttp://dcollection.snu.ac.kr:80/jsp/common/DcLoOrgPer.jsp?sItemId=000000049116eng
dc.identifier.urihttp://hdl.handle.net/10371/20715-
dc.descriptionThesis(master`s)--서울대학교 대학원 :통계학과,2006.en
dc.format.extent44 leavesen
dc.language.isoen-
dc.publisher서울대학교 대학원en
dc.subject다중이상치en
dc.subjectultiple outliersen
dc.subject감춤효과en
dc.subjectmasking and swampingen
dc.subject수렁효과en
dc.subjectlogistic regressionen
dc.subject로지스틱 회귀분석en
dc.subjectinfluence matrixen
dc.subject영향행렬en
dc.subjectmean shift modelen
dc.subject평균이동모형en
dc.titleMultiple Outlier Detection in Logistic Regression by Using Influence Matrixen
dc.typeThesis-
dc.contributor.department통계학과-
dc.description.degreeMasteren
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College of Natural Sciences (자연과학대학)Dept. of Statistics (통계학과)Theses (Master's Degree_통계학과)
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