T-Friedman Test: A New Statistical Test for Multiple Comparison with an Adjustable Conservativeness Measure
Abstract To prove that a certain algorithm is superior to the benchmark algorithms, the statistical hypothesis tests are commonly adopted with experimental results on a number of datasets. Some statistical hypothesis tests draw statistical test results more conservative than the others, while it is...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer
2022-04-01
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| Serie: | International Journal of Computational Intelligence Systems |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/s44196-022-00083-8 |
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