A method for statistical comparison of histograms
Sergey Bityukov, Nikolai Krasnikov, Alexander Nikitenko, and Vera, Smirnova

TL;DR
This paper introduces a statistical method to compare two histograms, testing if they originate from the same distribution and estimating their differences, based on the concept of significance of deviation.
Contribution
It presents a novel approach for hypothesis testing and quantifying differences between histograms using the significance of deviation measure.
Findings
Effective in determining if two histograms come from the same distribution
Provides a quantitative estimate of the difference between histograms
Applicable for various statistical analysis scenarios
Abstract
We propose an approach for testing the hypothesis that two realizations of the random variables in the form of histograms are taken from the same statistical population (i.e. that two histograms are drawn from the same distribution). The approach is based on the notion "significance of deviation". Our approach allows also to estimate the statistical difference between two histograms.
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Taxonomy
TopicsAdvanced Data Processing Techniques · Fault Detection and Control Systems
