The non isotropic noncentral elliptical shape distributions via pseudo-Wishart distribution are founded. This way, the classical shape theory is extended to non isotropic case and the normality assumption is replaced by assuming a elliptical distribution. In several cases, the new shape distribution...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2013
- Institución:
- Universidad de Medellín
- Repositorio:
- Repositorio UDEM
- Idioma:
- eng
- OAI Identifier:
- oai:repository.udem.edu.co:11407/1353
- Acceso en línea:
- http://hdl.handle.net/11407/1353
- Palabra clave:
- Maximum likelihood estimators
pseudo-Wishart distribution
Shape theory
Singular matrix multivariate distribution
Zonal Polynomial
- Rights
- restrictedAccess
- License
- http://purl.org/coar/access_right/c_16ec
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2015-10-09T13:17:50Z2015-10-09T13:17:50Z20139727671http://hdl.handle.net/11407/1353The non isotropic noncentral elliptical shape distributions via pseudo-Wishart distribution are founded. This way, the classical shape theory is extended to non isotropic case and the normality assumption is replaced by assuming a elliptical distribution. In several cases, the new shape distributions are easily computable and then the inference procedure can be studied under exact densities. An application in Biology is studied under the classical gaussian approach and two non gaussian models.enghttp://link.springer.com/article/10.1007/s13171-013-0024-1#page-1Sankhya: The Indian Journal of Statistics, agosto de 2013, volume 72, issue 2, pp 253-276ScopusArticleinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/restrictedAccesshttp://purl.org/coar/access_right/c_16ecDepartment of Statistics and Computation, Universidad Autónoma Agraria Antonio Narro, 25315, Buenavista, Saltillo, MexicoDepartment of Basic Sciences, Universidad de Medellín, Carrera 87 No.30-65, of. 5-103, Medellín, ColombiaDiaz-Garcia J.A.Caro-Lopera F.J.Maximum likelihood estimatorspseudo-Wishart distributionShape theorySingular matrix multivariate distributionZonal PolynomialGeneralised shape theory via pseudo-Wishart distribution11407/1353oai:repository.udem.edu.co:11407/13532020-05-27 19:00:33.362Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co |
| dc.title.english.eng.fl_str_mv |
Generalised shape theory via pseudo-Wishart distribution |
| dc.contributor.affiliation.spa.fl_str_mv |
Department of Statistics and Computation, Universidad Autónoma Agraria Antonio Narro, 25315, Buenavista, Saltillo, Mexico Department of Basic Sciences, Universidad de Medellín, Carrera 87 No.30-65, of. 5-103, Medellín, Colombia |
| dc.subject.keyword.eng.fl_str_mv |
Maximum likelihood estimators pseudo-Wishart distribution Shape theory Singular matrix multivariate distribution Zonal Polynomial |
| topic |
Maximum likelihood estimators pseudo-Wishart distribution Shape theory Singular matrix multivariate distribution Zonal Polynomial |
| spellingShingle |
Maximum likelihood estimators pseudo-Wishart distribution Shape theory Singular matrix multivariate distribution Zonal Polynomial |
| description |
The non isotropic noncentral elliptical shape distributions via pseudo-Wishart distribution are founded. This way, the classical shape theory is extended to non isotropic case and the normality assumption is replaced by assuming a elliptical distribution. In several cases, the new shape distributions are easily computable and then the inference procedure can be studied under exact densities. An application in Biology is studied under the classical gaussian approach and two non gaussian models. |
| publishDate |
2013 |
| dc.date.created.none.fl_str_mv |
2013 |
| dc.date.accessioned.none.fl_str_mv |
2015-10-09T13:17:50Z |
| dc.date.available.none.fl_str_mv |
2015-10-09T13:17:50Z |
| dc.type.eng.fl_str_mv |
Article |
| dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/article |
| dc.identifier.issn.none.fl_str_mv |
9727671 |
| dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/11407/1353 |
| identifier_str_mv |
9727671 |
| url |
http://hdl.handle.net/11407/1353 |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.isversionof.spa.fl_str_mv |
http://link.springer.com/article/10.1007/s13171-013-0024-1#page-1 |
| dc.relation.ispartofen.eng.fl_str_mv |
Sankhya: The Indian Journal of Statistics, agosto de 2013, volume 72, issue 2, pp 253-276 |
| dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_16ec |
| dc.rights.accessrights.none.fl_str_mv |
info:eu-repo/semantics/restrictedAccess |
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restrictedAccess |
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http://purl.org/coar/access_right/c_16ec |
| dc.source.spa.fl_str_mv |
Scopus |
| institution |
Universidad de Medellín |
| repository.name.fl_str_mv |
Repositorio Institucional Universidad de Medellin |
| repository.mail.fl_str_mv |
repositorio@udem.edu.co |
| _version_ |
1814159235553951744 |