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Tests for a Multiple-Sample Problem in High Dimensions

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Date of Publication : 2014-01-01

Journal : Communications in statistics: theory and methods

Affiliation of Author(s) : 数理与信息工程学院

Document Type : 期刊

Issue : No.1-3

Page Number : 291-305

Key Words : Asymptotic;normality;High;dimension;Hypothesis;testing;Multiple-sample;problem;Variable;selection

Abstract : In this article, we consider the problem of testing the hypothesis on mean vectors in multiple-sample problem when the number of observations is smaller than the number of variables. First we propose an independence rule test (IRT) to deal with high-dimen

Translation or Not : no

Pre One : An adaptive test for the mean vector in large-[formula omitted]-small-[formula omitted] problems.

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