[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5351/KJAS.2012.25.5.821

Multivariate Test based on the Multiple Testing Approach

Hong, Seung-Man (Department of Informational Statistics, Korea University)
Park, Hyo-Il (Department of Statistics, Chongju University)

Publication Information

The Korean Journal of Applied Statistics / v.25, no.5, 2012 , pp. 821-827 More about this Journal

Abstract

In this study, we propose a new nonparametric test procedure for the multivariate data. In order to accommodate the generalized alternatives for the multivariate case, we construct test statistics via-values with some useful combining functions. Then we illustrate our procedure with an example and compare efficiency among the combining functions through a simulation study. Finally we discuss some interesting features related with the new nonparametric test as concluding remarks.

Keywords

Combining function; multivariate data; nonparametric test; permutation principle;

Citations & Related Records

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