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New Developments in Statistical Information Theory Based on Entropy and Divergence Measures

Detalles Bibliográficos
Autor principal: Pardo, Leandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801946/
https://www.ncbi.nlm.nih.gov/pubmed/33267105
http://dx.doi.org/10.3390/e21040391
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author Pardo, Leandro
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spelling pubmed-78019462021-02-24 New Developments in Statistical Information Theory Based on Entropy and Divergence Measures Pardo, Leandro Entropy (Basel) Editorial MDPI 2019-04-11 /pmc/articles/PMC7801946/ /pubmed/33267105 http://dx.doi.org/10.3390/e21040391 Text en © 2019 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Editorial
Pardo, Leandro
New Developments in Statistical Information Theory Based on Entropy and Divergence Measures
title New Developments in Statistical Information Theory Based on Entropy and Divergence Measures
title_full New Developments in Statistical Information Theory Based on Entropy and Divergence Measures
title_fullStr New Developments in Statistical Information Theory Based on Entropy and Divergence Measures
title_full_unstemmed New Developments in Statistical Information Theory Based on Entropy and Divergence Measures
title_short New Developments in Statistical Information Theory Based on Entropy and Divergence Measures
title_sort new developments in statistical information theory based on entropy and divergence measures
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801946/
https://www.ncbi.nlm.nih.gov/pubmed/33267105
http://dx.doi.org/10.3390/e21040391
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