NSCORES 1.0

NSCORES Executes the Van der Waerden version of non parametric tests (Normal scores tests).Named for the Dutch mathematician Bartel Leendert van der Waerden, the Van der Waerden test is a statistical test that k population distribution functions are equal. The Van Der Waerden test converts the ranks to quantiles of the standard normal distribution. These are called normal scores and the test iscomputed from these normal scores. The standard ANOVA assumes that the errors (i.e., residuals) are normally distributed. If this normality assumption is not valid, an alternative is to use a non-parametric test. The advantage of the Van Der Waerden test is that it provides the high efficiency of the standard ANOVA analysis when the normality assumptions are in fact satisfied,but it also provides the robustness of the Kruskal-Wallis test when the normality assumptions are not satisfied.This function compute the Van der Waerden version of 5 tests:- Levene, Mann-Whitney-Wilcoxon and Wilcoxon tests when there are 2 groups;- Kruskal-Wallis and Friedman test when there are more than 2 groups. if p

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Advantage,  Analysis,  Assumptions,  Distributed,  Efficiency,  Nonparametric,  Robustness,  Satisfied
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