Abstract
The Kolmogorov–Smirnov goodness-of-fit test for equality of two distributions is considered. Two generalizations of this test for interval-valued data are proposed. Each version correspond to a different view on the interval outcomes of the experiment – either the epistemic or the ontic one. Each view yield its own approaches to data analysis and statistical inference.
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Grzegorzewski, P. (2018). The Kolmogorov–Smirnov Goodness-of-Fit Test for Interval-Valued Data. In: Gil, E., Gil, E., Gil, J., Gil, M. (eds) The Mathematics of the Uncertain. Studies in Systems, Decision and Control, vol 142. Springer, Cham. https://doi.org/10.1007/978-3-319-73848-2_57
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DOI: https://doi.org/10.1007/978-3-319-73848-2_57
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