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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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. |
format | Online Article Text |
id | pubmed-7178512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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