articleTop 1% cited
The Kolmogorov-Smirnov Test for Goodness of Fit
Journal of the American Statistical Association · 1951 · Vol. 46(253) · pp. 68–68
Frank J. Massey✉(University of Oregon)
Abstract
Abstract The test is based on the maximum difference between an empirical and a hypothetical cumulative distribution. Percentage points are tabled, and a lower bound to the power function is charted. Confidence limits for a cumulative distribution are described. Examples are given. Indications that the test is superior to the chi-square test are cited.
Nuclear Engineering Thermal-HydraulicsNuclear reactor physics and engineeringGoodness of fitKolmogorov–Smirnov testStatisticsMathematicsTest (biology)Statistical hypothesis testingBiology
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References
The Monte Carlo Method
Journal of the American Statistical Association · 1949 · 5,963 citations
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