Permutation Tests and Its Bibliometric Analysis
DOI:
https://doi.org/10.5281/zenodo.18234433Keywords:
Resampling, Bibliometric study, Permutation, Type I error rateAbstract
Permutation tests are successfully used in new areas of science and technology because of increasing computer power. Permutation tests along with nonparametric tests based on permutations of ranks and numerous multiple comparison procedures give attractive alternatives for standard analysis of variance and t-test. Because of its independency from the distribution, permutation tests are successful in many cases where parametric tests are not. It is the most important factor to recommend the use of permutation tests that it equalize the technical error, one of the components of error term, to zero and only treatment error remained in the error term. In this study, it was aimed to show the situation of publication dynamics of the permutation tests from 1982 to 2025. The annual percentage growth rate which was calculated as 10.6 showed that the use of permutation test will continue to increase for all the scientific areas to calculate the exact Type I error rate.
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