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  2. Mann–Whitney U test - Wikipedia

    en.wikipedia.org/wiki/Mann–Whitney_U_test

    The Mann–Whitney test (also called the Mann–Whitney–Wilcoxon (MWW/MWU), Wilcoxon rank-sum test, or Wilcoxon–Mann–Whitney test) is a nonparametric statistical test of the null hypothesis that, for randomly selected values X and Y from two populations, the probability of X being greater than Y is equal to the probability of Y being greater than X.

  3. 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 ...

  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. 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]

  6. Siegel–Tukey test - Wikipedia

    en.wikipedia.org/wiki/Siegel–Tukey_test

    From the rank sums the U statistics are calculated by subtracting off the minimum possible score, n(n + 1)/2 for each group: [1] U A = 54 − 7(8)/2 = 26 U B = 37 − 6(7)/2 = 16. According to the minimum of these two values is distributed according to a Wilcoxon rank-sum distribution with parameters given by the two group sizes:

  7. Frank Wilcoxon - Wikipedia

    en.wikipedia.org/wiki/Frank_Wilcoxon

    Over his career Wilcoxon published over 70 papers. [3] His most well-known paper [4] contained the two new statistical tests that still bear his name, the Wilcoxon rank-sum test and the Wilcoxon signed-rank test. These are non-parametric alternatives to the unpaired and paired Student's t-tests respectively. He died on November 18, 1965.

  8. Are the Chiefs the NFL's worst-ever 9-0 team? - AOL

    www.aol.com/sports/chiefs-nfls-worst-ever-9...

    Even the three-loss Washington Commanders (plus-73) and Los Angeles Chargers (plus-68) rank above Kansas City. Seven of Kansas City’s nine wins have come by a single score. Four have been in ...

  9. Paired difference test - Wikipedia

    en.wikipedia.org/wiki/Paired_difference_test

    A paired difference test, better known as a paired comparison, is a type of location test that is used when comparing two sets of paired measurements to assess whether their population means differ.