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The Kolmogorov-Smirnov Test for Goodness of Fit

Frank J. Massey · Journal of the American Statistical Association · 1951

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Author / responsible party
Frank J. Massey
Publisher
Journal of the American Statistical Association
Year
1951
Language
English

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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.

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APA 7

Massey, F. J. (1951). The Kolmogorov-Smirnov Test for Goodness of Fit. https://doi.org/10.1080/01621459.1951.10500769

MLA

Massey, Frank J. "The Kolmogorov-Smirnov Test for Goodness of Fit." 1951. https://doi.org/10.1080/01621459.1951.10500769.

Chicago

Massey, Frank J. 1951. "The Kolmogorov-Smirnov Test for Goodness of Fit.". https://doi.org/10.1080/01621459.1951.10500769.

Harvard

Massey, F. J. 1951, The Kolmogorov-Smirnov Test for Goodness of Fit, Journal of the American Statistical Association, available at: https://doi.org/10.1080/01621459.1951.10500769 [Accessed 8 Aug. 2026].

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Title
The Kolmogorov-Smirnov Test for Goodness of Fit
Author / contributors
Frank J. Massey
Publisher
Journal of the American Statistical Association
Publication year
1951
Language
English

Subjects

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Kolmogorov–Smirnov test; Goodness of fit; Mathematics; Empirical distribution function; Statistics; Cumulative distribution function; Test (biology); Confidence interval; Anderson–Darling test; Statistical hypothesis testing; Probability density function; Paleontology
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