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2024/4/12 -'bonferroni' the FWER is controlled using Dunn's (1961) Bonferroni adjustment, and adjusted p-values = max(1, pm). Those comparisons rejected with the ...
2024/4/19 -The Bonferroni test is a type of multiple comparison test used in statistical analysis. When performing a hypothesis test with multiple comparisons, ...
2024/5/15 -The results show a dynamic hierarchy of strength between the three languages, with overarching patterns across the three assessments. The implications for using ...
2024/5/15 -It directly extracts discriminative face features from images based on Graph Embedding and Fisher s criterion. The proposed method is a manifold learning ...
2024/4/4 -Bonferroni corrections . The simplest of these adjustments is called the Bonferroni correction (Dunn, 1961), and it's very very simple indeed. Suppose that ...
2024/4/19 -Overall, Dunn's test can be easily performed in R by following these steps. It is a useful tool for comparing multiple groups of data and can provide valuable ...
2024/4/30 -Describes how to conduct Dunn's test after a significant Kruskal-Wallis test. Excel examples are included and Excel functionality described.
2024/5/6 -What is Dunn's Test? Kruskal–Wallis one-way analysis of variance · Nonparametric statistics · Bonferroni correction · Nexus (standard) · Multiple comparisons ...
2024/4/12 -Bonferroni method: a splitting (Dunn's method). The Bonferroni method can be used to compare different groups at the baseline, study the relationship between ...
2024/6/13 -In statistics, Dunnett's test is a multiple comparison procedure developed by Canadian statistician Charles Dunnett to compare each of a number of treatments ...