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  2. Wilcoxon signed-rank test - Wikipedia

    en.wikipedia.org/wiki/Wilcoxon_signed-rank_test

    SciPy includes an implementation of the Wilcoxon signed-rank test in Python. Accord.NET includes an implementation of the Wilcoxon signed-rank test in C# for .NET applications. MATLAB implements this test using "Wilcoxon rank sum test" as [p,h] = signrank(x,y) also returns a logical value indicating the test decision. The result h = 1 indicates ...

  3. List of statistical tests - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_tests

    Wilcoxon signed-rank test: interval: non-parametric: paired: ≥1: Location test: ... Shapiro–Wilk test: interval: univariate: 1: Normality test: sample size ...

  4. Nonparametric statistics - Wikipedia

    en.wikipedia.org/wiki/Nonparametric_statistics

    Mann–Whitney U or Wilcoxon rank sum test: tests whether two samples are drawn from the same distribution, as compared to a given alternative hypothesis. McNemar's test: tests whether, in 2 × 2 contingency tables with a dichotomous trait and matched pairs of subjects, row and column marginal frequencies are equal.

  5. Univariate (statistics) - Wikipedia

    en.wikipedia.org/wiki/Univariate_(statistics)

    Univariate is a term commonly used in statistics to describe a type of data which consists of observations on only a single characteristic or attribute. A simple example of univariate data would be the salaries of workers in industry. [ 1 ]

  6. Rank test - Wikipedia

    en.wikipedia.org/wiki/Rank_test

    In statistics, a rank test is any test involving ranks. ... Examples. Wilcoxon signed-rank test;

  7. Friedman test - Wikipedia

    en.wikipedia.org/wiki/Friedman_test

    The Wilcoxon signed-rank test is a nonparametric test of nonindependent data from only two groups. The Skillings–Mack test is a general Friedman-type statistic that can be used in almost any block design with an arbitrary missing-data structure. The Wittkowski test is a general Friedman-Type statistics similar to Skillings-Mack test. When the ...

  8. Rank correlation - Wikipedia

    en.wikipedia.org/wiki/Rank_correlation

    A rank correlation coefficient measures the degree of similarity between two rankings, and can be used to assess the significance of the relation between them. For example, two common nonparametric methods of significance that use rank correlation are the Mann–Whitney U test and the Wilcoxon signed-rank test.

  9. Ranklet - Wikipedia

    en.wikipedia.org/wiki/Ranklet

    In statistics, a ranklet is an orientation-selective non-parametric feature which is based on the computation of Mann–Whitney–Wilcoxon (MWW) rank-sum test statistics. [1] Ranklets achieve similar response to Haar wavelets as they share the same pattern of orientation-selectivity, multi-scale nature and a suitable notion of completeness. [ 2 ]