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Overview and Main Advances in Permutation Tests for Linear Regression Models
2015
Journal of Mathematics and System Science
When the population, from which the samples are extracted, is not normally distributed, or if the sample size is particularly reduced, become preferable the use of not parametric statistic test. An alternative to the normal model is the permutation or randomization model. The permutation model is nonparametric because no formal assumptions are made about the population parameters of the reference distribution, i.e., the distribution to which an obtained result is compared to determine its
doi:10.17265/2159-5291/2015.02.001
fatcat:5whapw232bdvdkm2picnzls43q