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A review of 20 years of naive tests of significance for high-dimensional mean vectors and covariance matrices 被引量:1
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作者 HU Jiang BAI ZhiDong 《Science China Mathematics》 SCIE CSCD 2016年第12期2281-2300,共20页
We introduce the so-called naive tests and give a brief review of the new developments. Naive testing methods are easy to understand and perform robustly, especially when the dimension is large. We focus mainly on rev... We introduce the so-called naive tests and give a brief review of the new developments. Naive testing methods are easy to understand and perform robustly, especially when the dimension is large. We focus mainly on reviewing some naive testing methods for the mean vectors and covariance matrices of high-dimensional populations, and we believe that this naive testing approach can be used widely in many other testing problems. 展开更多
关键词 naive testing methods hypothesis testing high-dimensional data multivariate analysis of variance(MANOVA)
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