Comparing individual means in the analysis of variance.

By J. Tukey. 1949

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Citations in the corpus

'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions (2018, methodology): “We used ANOVA tests, followed by Tukey’s post-hoc paired tests [75], to analyse the relative effects of different explanation styles within different study designs.”
Sound event detection in synthetic audio: Analysis of the dcase 2016 task results (2017, methodology): “Post hoc analysis is done by following the Tukey-Kramer procedure [8].”
Combining leaf physiology, hyperspectral imaging and partial least squares-regression (PLS-R) for grapevine water status assessment (2015, methodology): “Physiological and morphological differences were examined with one-way analysis of variation (ANOVA) models, followed by honest significance difference (HSD) post-hoc tests (Tukey, 1949).”
Fifty years of pulsar candidate selection: from simple filters to a new principled real-time classification approach (2016, methodology): “Tukey’s Honestly Significant Difference test (Tukey 1949), was then applied to determine if differences in results were statistically significant at α = 0.01.”
Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks (2017, methodology): “To further confirm the significance of the superiority of the AVDCNN model over the second best system in each test condition in Figs 4–8, we performed a one-way analysis of variance (ANOVA) and Tukey post-hoc comparisons (TPHCs) [78].”
Blended Diffusion for Text-driven Editing of Natural Images (2021, methodology): “User study statistical analysis: We use Tukey’s honestly significant difference procedure [17] to test whether the differences between mean scores in our user study are statistically significant.”
An Aligned Rank Transform Procedure for Multifactor Contrast Tests (2021, methodology): “, with the Bonferroni correction [47], Holm’s sequential Bonferroni procedure [20], or Tukey’s HSD test [45], to name a few).”
Harmonization of cortical thickness measurements across scanners and sites (2017, methodology): “The latter is an extension of Tukey's method (Tukey, 1949) that takes into consideration unequal variances as well as unequal sample sizes.”
Impact of views to school landscapes on recovery from stress and mental fatigue (2016, methodology): “Which window view condition caused the attention restoration effect? To answer this question, we made pairwise comparisons using Tukey’s HSD (Tukey, 1949).”
Why Is My Classifier Discriminatory? (2018, methodology): “To map the 95% conﬁdence intervals, we perform pairwise comparisons of means using Tukey’s range test (Tukey, 1949) across 5-fold cross-validation.”
Statistical Comparisons of Classifiers over Multiple Data Sets (2006, methodology): “Of many such tests for ANOVA, the two most suitable for our situation are the Tukey test (Tukey, 1949) for comparing all classifiers with each other and the Dunnett test (Dunnett, 1980) for comparisons of all classifiers with the control (for instance, comparing the base classifier and some proposed”