Two-Sample Similarity Test for the Expected Value of Random Intervals.

SOFT METHODS FOR DATA SCIENCE(2017)

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摘要
The similarity degree between the expectation of two random intervals is studied by means of a hypothesis testing procedure. For this purpose, a similarity measure for intervals is introduced based on the so-called Jaccard index for convex sets. The measure ranges from 0 (if both intervals are not similar at all, i.e., if they are not overlapped) to 1 (if both intervals are equal). A test statistic is proposed and its limit distribution is analyzed by considering asymptotic and bootstrap techniques. Some simulation studies are carried out to examine the behaviour of the approach.
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关键词
Lebesgue Measure, Limit Distribution, Simple Random Sample, Interval Arithmetic, Jaccard Index
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