The Kruskal & ndash; Wallis test and the Friedman test are nonparametric tests, which do not rely on an assumption of normality.
2.
Instead, nonparametric tests can be used, such as the Mann Whitney test for unpaired situation or the sign test for paired situation.
3.
He has introduced the density-based empirical likelihood approach for creating nonparametric test statistics that efficiently approximate optimal parametric Neyman-Pearson statistics using minimum distribution assumptions on data.
4.
The "'Durbin test "'is a nonparametric test for balanced incomplete designs that reduces to the Friedman test in the case of a complete block design.
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In statistics, the "'Cucconi test "'is a nonparametric test for jointly comparing central tendency and variability ( detecting location and scale changes ) in two samples.
6.
Power analysis can be used to calculate the minimum sample size required so that one can be reasonably likely to detect an effect of a given parametric and a nonparametric test of the same hypothesis.
7.
The Kolmogorov-Smirnov test ( K-S test ) is a nonparametric test of the equality of continuous, one-dimensional probability distributions that can be used to compare a sample with a reference probability distribution ( one-sample K S test ), or to compare two samples ( two-sample K S test ), thus, it can be used to test the comparisons of the distributions of the nine subsamples.
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