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2024/6/11 -The Bonferroni correction is a method to adjust p-values when performing multiple comparisons to control the family-wise error rate.

2024/5/30 -A new multi-attribute group decision-making method based on Einstein Bonferroni operators under interval-valued Fermatean hesitant fuzzy environment.

2024/5/29 -To address these issues, this paper proposes a new MAGDM method based on Einstein Bonferroni operators under IVFHFSs. First, we thoroughly examine the ...

5日前 -Bonferroni correction#. Perhaps the simplest way to deal with multiple comparisons, Bonferroni correction conservatively multiplies the p-values by the number ...

2024/6/20 -Bonferroni correction. post-hoc statistical correction made to P values when several dependent or independent statistical tests are being performed ...

2024/6/17 -Bonferroni post hoc test results in Table 3 highlight significant mean differences between the silent method and both the subvocalization and oral methods.

2024/5/30 -The Bonferroni mean is applied sizably in multicriteria decision making because it expresses the interrelationship between attributes that many of the ...

2024/6/19 -The Bonferroni correction is a very conservative correction when applied to high-dimensional data, since the significance level decreases as the number of ...

2024/6/19 -Adjust p-values (Bonferroni method): Pairwise comparisons of column proportions make use of the Bonferroni correction, which adjusts the observed ...

2024/6/18 -Question: Imagine you wanted to conduct a series of 8 independent samples t-tests using a Bonferroni correction for family-wise error.