On discrimination between classes of distribution tails
Igor V. Rodionov

TL;DR
This paper introduces a new statistical test to differentiate between two classes of distribution tails using only the largest sample values, without assuming specific distribution domain properties, and proves its consistency.
Contribution
The paper presents a novel tail discrimination test that does not require assumptions about the distribution's domain of attraction and establishes its theoretical consistency.
Findings
Test effectively distinguishes distribution tail classes
Proven to be consistent under broad conditions
Operates using only extreme order statistics
Abstract
We propose the test for distinguishing between two classes of distribution tails using only the largest order statistics of the sample and state its consistency. We do not assume belonging the corresponding distribution functions to any maximum domain of attraction.
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Taxonomy
TopicsStatistical Methods and Inference · Advanced Statistical Methods and Models · Fault Detection and Control Systems
