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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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Detalhes bibliográficos
Main Authors: Jie Liu, Yubo Xu
Formato: Artigo
Idioma:Inglês
Publicado em: Springer 2022-04-01
Colecção:International Journal of Computational Intelligence Systems
Assuntos:
Acesso em linha:https://doi.org/10.1007/s44196-022-00083-8
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