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《Journal of Central China Normal University(Natural Sciences)》 2003-02
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The method of judging outliers in multivariate statistical data

ZHAO Hui1,2, GAN Zhongwei3, XIAO Ming4 ( 1.School of Mathematics and Statistics, Central China Normal University, Wuhan 430079; 2.School of Mathematical Sciences, Peking University, Beijing 100871; 3.School of Physics Science and Technology, Central China Normal University, Wuhan 430079; 4.Network Center, Central China Normal University, Wuhan 430079 )  
This paper, analyzes and compares some methods for judging the outliers in univariate and multivariate cases. Aiming at multivariate and larye sample, it proposes a set of procedures for outlier judgment. Examples demonstrate it performs well and offers an effective basis for testing the validity of statistical data.
【Fund】: 国家统计局基金资助项目(98001).
【CateGory Index】: O212.3
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