Kolmogorov–Smirnov goodness-of-fit test

a nonparametric method for comparing the distribution from a sample data set to an expected distribution or the known distribution of a given population. If the test yields a discrepancy (D) larger than the critical value, then the sample data are considered to be significantly different from the reference distribution. Also called Kolmogorov–Smirnov D test; Kolmogorov–Smirnov one-sample test. Compare Kolmogorov–Smirnov two-sample test. [Andrei Nikolaevich Kolmogorov (1903–1987) and Nikolai Vasilevich Smirnov (1900–1966), Soviet mathematicians]

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Psychology term of the day

December 22nd 2024

dialogue (dialog)

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