COMPARAÇÕES MÚLTIPLAS NÃO-PARAMÉTRICAS PARA O DELINEAMENTO COM UM FATOR DE CLASSIFICAÇÃO SIMPLES
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Summary
This work presents a routine, built in C language, that runs Kruskal-Wallis and multiple comparison among treatments and between treatment and control, considering all systematic configurations of ranks or 1.000 of random configurations depending on the total number of permutations.
- Type
- article
- Published
- 2001-01-01
- Cited by
- 9
- References
- 15
- OpenAlex
- https://openalex.org/W51889192
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:115621102
Keywords
Mathematics, Nonparametric statistics, Permutation (music), Quantile, Resampling
References
- The advanced theory of statistics
- On distribution-free multiple comparisons in the one-way analysis of variance
- Rank Transformations as a Bridge between Parametric and Nonparametric Statistics
- Mathematical Nonparametric Statistics
- Multiple Comparisons Using Rank Sums
- Nonparametric approaches to testing and multiple comparisons in a one-way anova
- Use of Ranks in One-Criterion Variance Analysis
- The bahadur efficiency of paired versus joint ranking procedures for pa1rwtse multiple comparisons
- A Rank Sum Test for Comparing All Pairs of Treatments
- Extended tables of the exact distribution of a rank statistic for all treatments multiple comparisons in one-way layout designs
- Extended tables of the exact distribution of a rank statistic for treatments versus control multiple comparisons in one- way layout designs
- Pairwise versus joint ranking: Another look at the Kruskal-Wallis statistic
- Nonparametric Statistical Methods: Hollander/Nonparametric Statistical Methods
- Introduction to Statistics: The Nonparametric Way
- The Advanced Theory of Statistics
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