Kolmogorov-Smirnov Test for Interval Data

Abstract : In this paper, we are interested in extending the classical Kolmogorov-Smirnov homogeneity test to compare two samples of interval-valued observed measurements. In such a case, the test result is interval-valued, and one major difficulty is to find the bounds of this set. We propose a very efficient computational method for approximating these bounds by using a p-box (pairs of upper and lower cumulative distributions) representation of the samples.
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Submitted on : Thursday, July 24, 2014 - 2:47:11 PM
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Sébastien Destercke, Olivier Strauss. Kolmogorov-Smirnov Test for Interval Data. IPMU: Information Processing and Management of Uncertainty in Knowledge-Based, Jul 2014, Montpellier, France. pp.416-425, ⟨10.1007/978-3-319-08852-5_43⟩. ⟨hal-01045013⟩

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