Methodological study demonstrates enhanced detection of distribution deviations in sample tails, highlighting improved sensitivity over standard Kolmogorov-Smirnov tests.
It is well known that the Kolmogorov-Smirnov (K-S) test exhibits poor sensitivity to deviations from the hypothesized distribution that occur in the tails. A modified version of the K-S test is introduced that is more sensitive than the K-S test to deviations in the tails. The finite and infinite sample distribution along with the consistency properties of the proposed test are studied. Tables of critical values are provided for two versions of the test (one sensitive to heavy tail alternatives and one sensitive to light tail alternatives) and the finite sample properties of these two versions of the test are investigated.
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Mason et al. (1983) studied this question.
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