The Kolmogorov goodness-of-fit test for interval-valued data

The generalized Kolmogorov goodness-of-fit test for interval-valued data is proposed. Two versions of the test are considered - each corresponding to a different view on the outcomes of the experiment, i.e. either the epistemic or ontic one. It is shown that each view on interval-valued data yield different approaches to data analysis and statistical inference.