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    Tests for mean vectors in high-dimensional data 

    Knavoot Jiamwattanapong; Samruam Chongcharoen (National Institute of Development Administration, 2015)

    High-dimensional data are ubiquitous and bring new challenges, not only to statisticians, but also to researchers in many scientific fields. They arise in situations where the dimension ( p) , the number of variables in a unit, is larger than the sample size (n), the number of units; data analysis using classical multivariate methods can no longer be applied.