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2篇 您的检索式：作者名="Jan KALINA"

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		题名	作者	年代	出处	被引量
	1	Outlier detection by means of robust regression estimators for use in engineering science显示文摘This study compares the ability of different robust regression estimators to detect and classify outliers. Well-known estimators with high breakdown points were compared using simulated data. Mean success rates (MSR) were computed and used as comparison criteria. The results showed that the least median of squares (LMS) and least trimmed squares (LTS) were the most successful methods for data that included leverage points, masking and swamping effects or critical and concentrated outliers. We recommend using LMS and LTS as diagnostic tools to classify outliers, because they remain robust even when applied to models that are heavily contaminated or that have a complicated structure of outliers.	Serif HEKIMOGLU R. Cuneyt ERENOGLU Jan KALINA	2009	Journal of Zhejiang University-Science A(Applied Physics & Engineering)2009，10，6：	2
	2	Germ line polymorphisms of the tumor suppressor gene p53 and lung cancer显示文摘	Erik Biros Ivan Kalina Anton Kohu Jan Stubna Jan Salagovic	2001	Lung Cancer2001，31，：	1

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