A new random permutation test in ANOVA models

Byoung Cheol Jung; Myoungshic Jhun; Seuck Heun Song

doi:10.1007/s00362-006-0315-x

A new random permutation test in ANOVA models

Byoung Cheol Jung, Myoungshic Jhun, Seuck Heun Song

Department of Statistics

Korea University

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

Abstract

This paper developed an exact method of random permutations when testing both interaction and main effects in the two-way ANOVA model. The method of this paper can be regarded as a much improved model when compared with those of the previous studies such as Still and White (1981) and ter Braak (1992). We further conducted a simulation experiment in order to check the statistical performance of the proposed method. The proposed method works relatively well for small sample sizes compare with the existing methods.

Original language	English
Pages (from-to)	47-62
Number of pages	16
Journal	Statistical Papers
Volume	48
Issue number	1
DOIs	https://doi.org/10.1007/s00362-006-0315-x
State	Published - Jan 2007

Keywords

Analysis of variance
Random permutation tests
Simulation

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10.1007/s00362-006-0315-x

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abstract = "This paper developed an exact method of random permutations when testing both interaction and main effects in the two-way ANOVA model. The method of this paper can be regarded as a much improved model when compared with those of the previous studies such as Still and White (1981) and ter Braak (1992). We further conducted a simulation experiment in order to check the statistical performance of the proposed method. The proposed method works relatively well for small sample sizes compare with the existing methods.",

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KW - Simulation

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A new random permutation test in ANOVA models

Abstract

Keywords

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