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  2. Kolmogorov–Smirnov test - Wikipedia

    en.wikipedia.org/wiki/KolmogorovSmirnov_test

    Illustration of the KolmogorovSmirnov statistic. The red line is a model CDF, the blue line is an empirical CDF, and the black arrow is the KS statistic.. In statistics, the KolmogorovSmirnov test (also K–S test or KS test) is a nonparametric test of the equality of continuous (or discontinuous, see Section 2.2), one-dimensional probability distributions.

  3. List of statistical tests - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_tests

    Unpaired samples are also called independent samples. Paired samples are also called dependent. Finally, there are some statistical tests that perform analysis of relationship between multiple variables like regression. [1] Number of samples: The number of samples of data. Exactness: A test can be exact or be asymptotic delivering approximate ...

  4. Lilliefors test - Wikipedia

    en.wikipedia.org/wiki/Lilliefors_test

    Lilliefors test is a normality test based on the KolmogorovSmirnov test.It is used to test the null hypothesis that data come from a normally distributed population, when the null hypothesis does not specify which normal distribution; i.e., it does not specify the expected value and variance of the distribution. [1]

  5. Nonparametric statistics - Wikipedia

    en.wikipedia.org/wiki/Nonparametric_statistics

    KolmogorovSmirnov test: tests whether a sample is drawn from a given distribution, or whether two samples are drawn from the same distribution. Kruskal–Wallis one-way analysis of variance by ranks: tests whether > 2 independent samples are drawn from the same distribution.

  6. Cramér–von Mises criterion - Wikipedia

    en.wikipedia.org/wiki/Cramér–von_Mises_criterion

    The Cramér–von Mises test is an alternative to the KolmogorovSmirnov test (1933). [4] Cramér–von Mises test (one sample) Let ,, ...

  7. Kuiper's test - Wikipedia

    en.wikipedia.org/wiki/Kuiper's_test

    Kuiper's test is closely related to the better-known KolmogorovSmirnov test (or K-S test as it is often called). As with the K-S test, the discrepancy statistics D + and D − represent the absolute sizes of the most positive and most negative differences between the two cumulative distribution functions that are being compared.

  8. Minimum-distance estimation - Wikipedia

    en.wikipedia.org/wiki/Minimum-distance_estimation

    Most theoretical studies of minimum-distance estimation, and most applications, make use of "distance" measures which underlie already-established goodness of fit tests: the test statistic used in one of these tests is used as the distance measure to be minimised. Below are some examples of statistical tests that have been used for minimum ...

  9. Kolmogorov's theorem - Wikipedia

    en.wikipedia.org/wiki/Kolmogorov's_theorem

    Kolmogorov's theorem is any of several different results by Andrey Kolmogorov: In statistics. KolmogorovSmirnov test; In probability theory. Hahn–Kolmogorov theorem; Kolmogorov extension theorem; Kolmogorov continuity theorem; Kolmogorov's three-series theorem; Kolmogorov's zero–one law; Chapman–Kolmogorov equations; Kolmogorov ...