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Gamma-Maxwell distribution
dc.contributor.author | Astorga, Juan Miguel | |
dc.contributor.author | Iriarte, Yuri A. | |
dc.contributor.author | Bolfarine, Heleno | |
dc.contributor.author | Gómez, Héctor W | |
dc.date.accessioned | 2020-09-14T15:23:51Z | |
dc.date.available | 2020-09-14T15:23:51Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Communications in Statistics - Theory and Methods Volume 46, 2017 - Issue 9 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12740/15716 | |
dc.description.abstract | A new two-parameter distribution, the gamma-Maxwell distribution, is proposed and studied. We generate the new distribution using the gamma-G generator of distributions proposed by Zografos and Balakrishnan (2009). The proposal distribution can be seen as an extension of the Maxwell distribution with more flexibility in terms of the distribution asymmetry and kurtosis. We study some probability properties, discuss maximum likelihood estimation and present a real data application indicating that the new distribution can improve the ordinary Maxwell distribution in fitting real data. | |
dc.language | en | |
dc.rights | Atribución-SinDerivadas 3.0 Chile | |
dc.rights | http://creativecommons.org/licenses/by-nd/3.0/cl/ | |
dc.source.uri | http://dx.doi.org/10.1080/03610926.2015.1081946 | |
dc.subject | MAXWELL DISTRIBUTION | |
dc.subject | GAMMA-G GENERATOR | |
dc.subject | GAMMA-MAXWELL DISTRIBUTION | |
dc.subject | MAXIMUM LIKELIHOOD | |
dc.subject.other | PROBABILIDAD MÁXIMA | |
dc.title | Gamma-Maxwell distribution | |
dc.type | Artículo de Revista | |
dc.indice.citas | Science Citation Index Expanded | |
dc.relation.vrip | http://dx.doi.org/10.1080/03610926.2015.1081946 | |
dc.unidad | Tecnológico | |
dc.database | WoS-Scopus |
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