A graphical diagnostic for heavy tailed data

descriptionPublicationkeyboard_double_arrow_right Article 01 Nov 2020 English Publisher:WileyJournal:Applied Stochastic Models in Business and Industry, volume 36, pages 1,080-1,091 (issn: 1524-1904, eissn: 1526-4025,

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Authors: John P. Nolan;

doi: 10.1002/asmb.2590

A graphical diagnostic for heavy tailed data

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Abstract

AbstractGraphical diagnostics are described for general heavy tailed data. This tool allows for a model free assessment of the tails of a univariate dataset a transform on the tails of the data. In addition, one can add to the basic plots comparisons of a dataset to multiple models. Multivariate extensions are described using an ordering based on distance from a center.

Related Organizations

American University
United States
University of Mary
United States

Keywords

graphical diagnostics, Statistics, heavy tailed data, extremes

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