Evaluating Kolmogorov's Distribution
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Abstract
Kolmogorov's goodness-of-fit measure, Dn , for a sample CDF has consistently been set aside for methods such as the D+n or D-n of Smirnov, primarily, it seems, because of the difficulty of computing the distribution of Dn . As far as we know, no easy way to compute that distribution has ever been provided in the 70+ years since Kolmogorov's fundamental paper. We provide one here, a C procedure that provides Pr(Dn .999 with n's of several thousand, we provide a quick approximation that gives accuracy to the 7th digit for such cases.
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3Topics & keywords
Keywords
- Limiting
- Distribution (mathematics)
- Kolmogorov–Smirnov test
- Set (abstract data type)
- Goodness of fit
- Measure (data warehouse)
- Kolmogorov complexity
- Probability distribution
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