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An alternative method to test scale invariance

We introduce an alternative method that is simple and can be used to test scale invariance or self-similarity in any types of data, irrespective of their distributions. Our method is based on estimating the Lorenz curve and the Kolmogorov–Smirnov test. This alternative method could be used as a prel...

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Detalles Bibliográficos
Autores principales: Sitthiyot, Thitithep, Budsaratragoon, Pornanong, Holasut, Kanyarat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178512/
https://www.ncbi.nlm.nih.gov/pubmed/32346527
http://dx.doi.org/10.1016/j.mex.2020.100875
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author Sitthiyot, Thitithep
Budsaratragoon, Pornanong
Holasut, Kanyarat
author_facet Sitthiyot, Thitithep
Budsaratragoon, Pornanong
Holasut, Kanyarat
author_sort Sitthiyot, Thitithep
collection PubMed
description We introduce an alternative method that is simple and can be used to test scale invariance or self-similarity in any types of data, irrespective of their distributions. Our method is based on estimating the Lorenz curve and the Kolmogorov–Smirnov test. This alternative method could be used as a preliminary screening before investigating further which types of distributions would fit the actual observations. • We introduce a simple method to test scale invariance, regardless of data distributions. • Our method is based on estimating the Lorenz curve and the Kolmogorov–Smirnov test. • This alternative method could serve as an initial screening before investigating further which types of distributions would fit the actual data.
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spelling pubmed-71785122020-04-28 An alternative method to test scale invariance Sitthiyot, Thitithep Budsaratragoon, Pornanong Holasut, Kanyarat MethodsX Social Science We introduce an alternative method that is simple and can be used to test scale invariance or self-similarity in any types of data, irrespective of their distributions. Our method is based on estimating the Lorenz curve and the Kolmogorov–Smirnov test. This alternative method could be used as a preliminary screening before investigating further which types of distributions would fit the actual observations. • We introduce a simple method to test scale invariance, regardless of data distributions. • Our method is based on estimating the Lorenz curve and the Kolmogorov–Smirnov test. • This alternative method could serve as an initial screening before investigating further which types of distributions would fit the actual data. Elsevier 2020-03-20 /pmc/articles/PMC7178512/ /pubmed/32346527 http://dx.doi.org/10.1016/j.mex.2020.100875 Text en © 2020 The Author(s). Published by Elsevier B.V. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Social Science
Sitthiyot, Thitithep
Budsaratragoon, Pornanong
Holasut, Kanyarat
An alternative method to test scale invariance
title An alternative method to test scale invariance
title_full An alternative method to test scale invariance
title_fullStr An alternative method to test scale invariance
title_full_unstemmed An alternative method to test scale invariance
title_short An alternative method to test scale invariance
title_sort alternative method to test scale invariance
topic Social Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7178512/
https://www.ncbi.nlm.nih.gov/pubmed/32346527
http://dx.doi.org/10.1016/j.mex.2020.100875
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