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A Comparison of Alternative Tests of Significance for the Problem of $m$ Rankings
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“As for comparing the classifiers over multiple datasets, we followed the recommendations in Demˇ sar (2006) and used the Friedman test (Friedman, 1940) to reject the null hypothesis.”
From Deep learning for time series classification: a review (2019) · cites this paper as Friedman, 1940
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“The Friedman test is chosen primarily because it is themost effective statistical test comparingmore than five different entities [53].”
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“The non-parametric Friedman test (Friedman, 1940) with the post hoc test was used to perform statistical analysis using the five Grey–Markov models described above on fourteen datasets.”
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“The information once coded will result in two rankings, that can be analysed descriptively ( step 5 ) making use of standard ranking comparison tests (e.g. Wilcoxon 1945; Friedman 1940).”
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“As we have five different folds (datasets) and more than five different classifiers to test for significance testing, we applied a non-parametric Friedman test [15, 16] followed by a posthoc test named Nemenyi test [14] at 0.”
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Semiochemicals from froth of egg pods attract ovipositing female Schistocerca gregaria
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Barhoush, M. M., Abed-alguni, B. H., & Al-qudah, N. E. A. (2023) · The Journal of Supercomputing · doi:10.1007/s11227-023-05444-4 · Cited by 47
“Friedman test is used to figure out whether at least three measurements from the same group of a given set of subjects are significantly different from each other with respect to a skewed variable of the interest significance with others [65, 66].”
MethodMustapha, I. B., Abdulkareem, M., Jassam, T. M., AlAteah, A. H., Al-Sodani, K. A. A., Al-Tholaia, M. M. H., Nabus, H. S. Y., Alih, S. C., Abdulkareem, Z., & Ganiyu, A. A. (2024) · International Journal of Concrete Structures and Materials · doi:10.1186/s40069-023-00653-w · Cited by 47
“In addition to the results based on these evaluation metrics, a ranking test using Friedman’s test (Friedman, 1940) is also carried out to test the null hypothesis that the means of the results of the gradient-boosting ensemble (5) y m − (cid:29) y m max ε , y m methods are the same at significance…”
Method
Metadata
- Authors
- Friedman, M.
- Corresponding author
- Friedman, Milton
- Venue
- The Annals of Mathematical Statistics
- Publisher
- Institute of Mathematical Statistics
- Published
- 1940-03
- Volume
- 11
- Issue
- 1
- Pages
- 86-92
- ISSN
- 0003-4851 (ISSN-L)
- OpenAlex
- W2016944307
- Cited by
- 2,785
- References
- 4
- Citations by year
- 2026: 191 · 2025: 256 · 2024: 244 · 2023: 253 · 2022: 264 · 2021: 231 · 2020: 209 · 2019: 173 · 2018: 133 · 2017: 106 · 2016: 132 · 2015: 93 · 2014: 82 · 2013: 72 · 2012: 67
- FWCI
- 5.07
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Annals of Mathematical Statistics (publishedVersion)
- Project Euclid (Cornell University) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Game Theory and Voting Systems
- Keywords
- tests of significance, rank tests, comparison of statistical tests
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