JMASM20: Exact Permutation Critical Values For The Kruskal-Wallis One-Way ANOVA
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چکیده
منابع مشابه
An Algorithm And Code For Computing Exact Critical Values For The Kruskal-Wallis Nonparametric One-Way ANOVA
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Running head: A COMPARISON OF THE EXACT KRUSKAL-WALLIS A comparison of the Exact Kruskal-Wallis Distribution to Asymptotic Approximations for All Sample Sizes
We generated exact probability distributions for sample sizes up to 35 in each of three groups ( 105 N ) and up to 10 in each of four groups ( 40 N ). We provided a portion of these exact probability tables and compared the exact distributions to the chi-square, gamma, and beta approximations. The beta approximation was best in terms of the root mean squared error. At specific significance ...
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This paper describes the comparison of the anova and the KruskalWallis test by means of the power when violating the assumption about normally distributed populations. The permutation method is used as a simulation method to determine the power of the test. It appears that in the case of asymmetric populations the non-parametric Kruskal-Wallis test performs better than the parametric equivalent...
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In a multi-group experimental design where interest is in a univariate response, the nonparametric Kruskal-Wallis test [Kniskal and Wallis (1952)] provides a potentially more powerful alternative to the parametric one-way analysis of variance when the assumptions of normality are in question. For multivariate response, Puri and Sen (1966) proposed a generalization of the KmskalWallis test that ...
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