Publication | Closed Access
Table of Percentage Points of Kolmogorov Statistics
382
Citations
11
References
1956
Year
Large DeviationsPercentage PointsEngineeringDensity EstimationRare Event EstimationBiostatisticsStatistical InferenceProbability TheoryEmpirical ModificationMathematical StatisticAsymptotic FormulaStatistics
Abstract A simple method for testing the probability that a set of numbers is a sample from a known distribution consists of comparing the empirical cumulative distribution function of the sample, S n (x), with the known cumulative distribution function F(x). Both D n = maximum {S n (x) – F{x)} and D n * = maximum | S n (x) – F(x) | are random variables, independent of the special form of F(x), if F(x) is continuous. This paper contains more extensive tables of the percentage points in the distributions of D n and D n * than have been published previously. These values are obtained by empirical modification of a known asymptotic formula.
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