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On the non-Gaussianity of the height of sea waves

dc.contributor.authorNieto Reyes, Alicia 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2025-01-29T13:32:01Z
dc.date.available2025-01-29T13:32:01Z
dc.date.issued2021-12
dc.identifier.issn2077-1312
dc.identifier.otherMTM2017-86061-C2-2-Pes_ES
dc.identifier.urihttps://hdl.handle.net/10902/35233
dc.description.abstractThe objective of this paper is to prove that the sea wave height is not a Gaussian process. This is contrary to the common belief, as the height of a sea wave is generally considered a Gaussian process. With this aim in mind, an empirical study of the buoys along the US coast at a random day is pursued. The analysis differs from those in the literature in that we study the Gaussianity of the process as a whole and not just of its one-dimensional marginal. This is done by making use of random projections and a variety of tests that are powerful against different types of alternatives. The study has resulted in a rejection of the Gaussianity in over 96% of the studied cases.es_ES
dc.description.sponsorshipA.N.-R. was supported by grant MTM2017-86061-C2-2-P funded by "ERDF A way of making Europe" and MCIN/AEI/ 10.13039/501100011033.es_ES
dc.format.extent16 p.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rights© 2021 by the authors. 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 (https://creativecommons.org/licenses/by/4.0/).es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceJournal of Marine Science and Engineering, 2021, 9, 1446es_ES
dc.subject.otherGaussian processes_ES
dc.subject.otherNormal distributiones_ES
dc.subject.otherNortsTest R packagees_ES
dc.subject.otherRandom projectionses_ES
dc.subject.otherStationarityes_ES
dc.subject.otherTime series analysises_ES
dc.titleOn the non-Gaussianity of the height of sea waveses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.3390/jmse9121446es_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2017-86061-C2-2-P/ES/REMUESTREO, RECORTES Y METRICAS PROBABILISTICAS. DATOS FUNCIONALES, PROYECCIONES ALEATORIAS Y PROFUNDIDADES ESTADISTICAS. APLICACIONES/es_ES
dc.identifier.DOI10.3390/jmse9121446
dc.type.versionpublishedVersiones_ES


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© 2021 by the authors. 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 (https://creativecommons.org/licenses/by/4.0/).Excepto si se señala otra cosa, la licencia del ítem se describe como © 2021 by the authors. 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 (https://creativecommons.org/licenses/by/4.0/).