Testing multisample compound symmetry
ABSTRACT: This paper is concerned with testing multisample compound symmetry of k multivariate Gaussian models. The likelihood ratio test statistic and its null moments for testing multisample compound symmetry have been derived. The asymptotic null distribution of the test statistic has been obtain...
- Autores:
-
Nagar, Daya Krishna
Castañeda López, María Eugenia
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2003
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/30861
- Acceso en línea:
- https://hdl.handle.net/10495/30861
- Palabra clave:
- Análisis Multivariante
Multivariate analysis
Matrices (matemáticas)
Matrices
Estadística matemática
Mathematical statistics
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-nd/4.0/
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Testing multisample compound symmetry |
| title |
Testing multisample compound symmetry |
| spellingShingle |
Testing multisample compound symmetry Análisis Multivariante Multivariate analysis Matrices (matemáticas) Matrices Estadística matemática Mathematical statistics |
| title_short |
Testing multisample compound symmetry |
| title_full |
Testing multisample compound symmetry |
| title_fullStr |
Testing multisample compound symmetry |
| title_full_unstemmed |
Testing multisample compound symmetry |
| title_sort |
Testing multisample compound symmetry |
| dc.creator.fl_str_mv |
Nagar, Daya Krishna Castañeda López, María Eugenia |
| dc.contributor.author.none.fl_str_mv |
Nagar, Daya Krishna Castañeda López, María Eugenia |
| dc.contributor.researchgroup.spa.fl_str_mv |
Análisis Multivariado |
| dc.subject.lemb.none.fl_str_mv |
Análisis Multivariante Multivariate analysis Matrices (matemáticas) Matrices Estadística matemática Mathematical statistics |
| topic |
Análisis Multivariante Multivariate analysis Matrices (matemáticas) Matrices Estadística matemática Mathematical statistics |
| description |
ABSTRACT: This paper is concerned with testing multisample compound symmetry of k multivariate Gaussian models. The likelihood ratio test statistic and its null moments for testing multisample compound symmetry have been derived. The asymptotic null distribution of the test statistic has been obtained using Box's method. This test can be viewed as an extension of Wilks' test for testing intraclass correlation structure of a covariance matrix. |
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2003 |
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2003 |
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Nagar, Daya & Castañeda, María. (2003). Testing multisample compound symmetry. Advances and Applications in Statistics. 3(3). 285-292 |
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0972-3617 |
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https://hdl.handle.net/10495/30861 |
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Nagar, Daya & Castañeda, María. (2003). Testing multisample compound symmetry. Advances and Applications in Statistics. 3(3). 285-292 0972-3617 |
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https://hdl.handle.net/10495/30861 |
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eng |
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eng |
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Advances and Applications in Statistics |
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Nagar, Daya KrishnaCastañeda López, María EugeniaAnálisis Multivariado2022-09-25T17:08:17Z2022-09-25T17:08:17Z2003Nagar, Daya & Castañeda, María. (2003). Testing multisample compound symmetry. Advances and Applications in Statistics. 3(3). 285-2920972-3617https://hdl.handle.net/10495/30861ABSTRACT: This paper is concerned with testing multisample compound symmetry of k multivariate Gaussian models. The likelihood ratio test statistic and its null moments for testing multisample compound symmetry have been derived. The asymptotic null distribution of the test statistic has been obtained using Box's method. This test can be viewed as an extension of Wilks' test for testing intraclass correlation structure of a covariance matrix.COL00005328application/pdfengPushpa Publishing HouseIndiahttps://creativecommons.org/licenses/by-nc-nd/4.0/http://creativecommons.org/licenses/by-nc-nd/2.5/co/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Testing multisample compound symmetryArtículo de investigaciónhttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAnálisis MultivarianteMultivariate analysisMatrices (matemáticas)MatricesEstadística matemáticaMathematical statistics29232853Advances and Applications in StatisticsPublicationORIGINALNagarDaya_2003_TestingMultisampleCompound.pdfNagarDaya_2003_TestingMultisampleCompound.pdfArtículo de investigaciónapplication/pdf523873https://bibliotecadigital.udea.edu.co/bitstreams/af8dbcfb-9a97-4f85-a3e1-ae6e2bd9d12e/download11a54bf7f8ab61b13d7dba6703253effMD51trueAnonymousREADCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8823https://bibliotecadigital.udea.edu.co/bitstreams/f1c92d6a-18cf-4da2-93a9-b95045c0dbb1/downloadb88b088d9957e670ce3b3fbe2eedbc13MD52falseAnonymousREADLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bibliotecadigital.udea.edu.co/bitstreams/b12b0c73-1793-4c8a-8bf0-3531da9a1288/download8a4605be74aa9ea9d79846c1fba20a33MD53falseAnonymousREADTEXTNagarDaya_2003_TestingMultisampleCompound.pdf.txtNagarDaya_2003_TestingMultisampleCompound.pdf.txtExtracted texttext/plain10197https://bibliotecadigital.udea.edu.co/bitstreams/2efebcd2-3da8-4406-80a3-dda5cbbf0962/download5e3170cc3a3e726bdaf2a50ce2f9a84cMD54falseAnonymousREADTHUMBNAILNagarDaya_2003_TestingMultisampleCompound.pdf.jpgNagarDaya_2003_TestingMultisampleCompound.pdf.jpgGenerated Thumbnailimage/jpeg10492https://bibliotecadigital.udea.edu.co/bitstreams/2b010e74-2402-4041-b256-c4e9870087fa/download6f2be8a039ad088df265f355835e7e88MD55falseAnonymousREAD10495/30861oai:bibliotecadigital.udea.edu.co:10495/308612025-03-27 00:09:09.079https://creativecommons.org/licenses/by-nc-nd/4.0/open.accesshttps://bibliotecadigital.udea.edu.coRepositorio Institucional de la Universidad de Antioquiaaplicacionbibliotecadigitalbiblioteca@udea.edu.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 |
