Nonparametric Tests Applicable to High Dimensional Data

被引:0
作者
Rublik, Frantisek [1 ]
机构
[1] Slovak Acad Sci, Inst Measurement Sci, Bratislava 84104, Slovakia
关键词
ranks of multivariate observations; tests of multivariate location hypotheses; high dimensional data; multiple comparisons for location parameters; projection pursuit; 2-SAMPLE TEST; MULTIVARIATE;
D O I
10.17713/ajs.v48i4.654
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Constructions of data driven ordering of set of multivariate observations are presented. The methods employ also dissimilarity measures. The ranks are used in the construction of test statistics for location problem and in the construction of the corresponding multiple comparisons rule. An important aspect of the resulting procedures is that they can be used also in the multisample setting and in situations where the sample size is smaller than the dimension of the observations. The performance of the proposed procedures is illustrated by simulations.
引用
收藏
页码:14 / 42
页数:29
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