stests: librería de R para realizar pruebas de hipótesis multivariadas

Autores:: Piedrahita García, Jean Paul
Hernández Barajas, Freddy

Tipo de recurso:: Article of journal

Fecha de publicación:: 2024

Institución:: Universidad Pedagógica y Tecnológica de Colombia

Repositorio:: RiUPTC: Repositorio Institucional UPTC

Idioma:

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dc.title.es-ES.fl_str_mv	stests: librería de R para realizar pruebas de hipótesis multivariadas
title	stests: librería de R para realizar pruebas de hipótesis multivariadas
spellingShingle	stests: librería de R para realizar pruebas de hipótesis multivariadas Problema de Behrens-Fisher Estadística multivariada test estadístico Behrens-Fisher problem Multivariate statistic statistical test stests is an R package that provides a range of useful functions for conducting various statistical tests. It is a valuable package that offers several statistical tests for multivariate analysis.
title_short	stests: librería de R para realizar pruebas de hipótesis multivariadas
title_full	stests: librería de R para realizar pruebas de hipótesis multivariadas
title_fullStr	stests: librería de R para realizar pruebas de hipótesis multivariadas
title_full_unstemmed	stests: librería de R para realizar pruebas de hipótesis multivariadas
title_sort	stests: librería de R para realizar pruebas de hipótesis multivariadas
dc.creator.fl_str_mv	Piedrahita García, Jean Paul Hernández Barajas, Freddy
dc.contributor.author.spa.fl_str_mv	Piedrahita García, Jean Paul Hernández Barajas, Freddy
dc.subject.none.fl_str_mv	Problema de Behrens-Fisher Estadística multivariada test estadístico Behrens-Fisher problem Multivariate statistic statistical test stests is an R package that provides a range of useful functions for conducting various statistical tests. It is a valuable package that offers several statistical tests for multivariate analysis.
topic	Problema de Behrens-Fisher Estadística multivariada test estadístico Behrens-Fisher problem Multivariate statistic statistical test stests is an R package that provides a range of useful functions for conducting various statistical tests. It is a valuable package that offers several statistical tests for multivariate analysis.
publishDate	2024
dc.date.accessioned.none.fl_str_mv	2024-12-11 00:00:00 2026-04-16T17:12:33Z
dc.date.available.none.fl_str_mv	2024-12-11 00:00:00
dc.date.issued.none.fl_str_mv	2024-12-11
dc.type.spa.fl_str_mv	Artículo de revista
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dc.identifier.doi.none.fl_str_mv	10.19053/uptc.01217488.v15.n2.2024.16145
dc.identifier.eissn.none.fl_str_mv	2462-7658
dc.identifier.url.none.fl_str_mv	https://doi.org/10.19053/uptc.01217488.v15.n2.2024.16145
identifier_str_mv	0121-7488 10.19053/uptc.01217488.v15.n2.2024.16145 2462-7658
url	https://repositorio.uptc.edu.co/handle/001/18742 https://doi.org/10.19053/uptc.01217488.v15.n2.2024.16145
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dc.relation.references.none.fl_str_mv	B. M. Bennett. Note on a solution of the generalized behrens–fisher problem. Ann. Inst. Statist. Math., 2:87–90, 1951. J. Gamage, T. Mathew, and S. Weerahandi. Generalized p-values and generalized confidence regions for the multivariate behrens–fisher problem and manova. Journal of Multivariate Analysis, 88:177–189, 2004. G. James. Tests of linear hypotheses in univariate and multivariate analysis when the ratios of the population variances are unknown. Biometrika, 41:19–43, 1954. S. Johansen. The welch-james approximation to the distribution of the residual sum of squares in a weighted linear regression. Biometrika, 67(1):85–92, 1980. T. Kawasaki and T. Seo. A two sample test for mean vectors with unequal covariance matrices. Communications in Statistics - Simulation and Computations, 44:1850–1866, 2015. S.-J. Kim. A practical solution to the multivariate behrens-fisher problem. Biometrika, 79 (1):171–176, 1992. ISSN 00063444. URL http://www.jstor.org/stable/2337157. K. Krishnamoorthy and J. Yu. Modified Nel and Van der Merwe test for the multivariate behrens–fisher problem. Statistics & Probability Letters, 66(2):161–169, 2004. D. G. Nel and C. A. Van Der Merwe. A solution to the multivariate behrens-fisher problem. Communications in Statistics - Theory and Methods, 15(12):3719–3735, 1986. A. Rencher and W. Christensen. Methods of multivariate analysis. John Wiley & Sons, 2012. H. Scheffé. On solutions of the behrens-fisher problem, based on the t-distribution. The Annals of Mathematical Statistics, 14(1):35–44, 1943. ISSN 00034851. URL http://www.jstor.org/stable/2236000. G. A. Seber. Multivariate observations. John Wiley & Sons, 2009. W. N. Venables and B. D. Ripley. Modern Applied Statistics with S. Springer, New York, fourth edition, 2002. URL https://www.stats.ox.ac.uk/pub/MASS4/. ISBN 0-387-95457-0. H. Wickham, J. Hester, W. Chang, and J. Bryan. devtools: Tools to Make Developing R Packages Easier, 2022. URL https://CRAN.R-project.org/package=devtools. R package version 2.4.5. H. Yanagihara and K. Yuan. Three approximate solutions to the multivariate behrens-fisher problem. Communications in Statistics - Simulation and Computations, 34:975–988, 2005. Y. Yao. An approximate degrees of freedom solution to the multivariate beherens-fisher problem. Biometrika, 52(1/2):139–147, 1965.
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dc.relation.citationvolume.spa.fl_str_mv	15
dc.relation.ispartofjournal.spa.fl_str_mv	Ciencia en Desarrollo
dc.relation.bitstream.none.fl_str_mv	https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/download/16145/14901
dc.relation.citationedition.spa.fl_str_mv	Núm. 2 , Año 2024 : Vol. 15 Núm. 2 (2024): Vol 15, Núm.2 (2024): Julio-Diciembre
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dc.publisher.spa.fl_str_mv	Universidad Pedagógica y Tecnológica de Colombia
dc.source.none.fl_str_mv	https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/16145
institution	Universidad Pedagógica y Tecnológica de Colombia
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spelling	Piedrahita García, Jean PaulHernández Barajas, Freddy2024-12-11 00:00:002026-04-16T17:12:33Z2024-12-11 00:00:002024-12-110121-7488https://repositorio.uptc.edu.co/handle/001/1874210.19053/uptc.01217488.v15.n2.2024.161452462-7658https://doi.org/10.19053/uptc.01217488.v15.n2.2024.16145application/pdfUniversidad Pedagógica y Tecnológica de Colombiahttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.esinfo:eu-repo/semantics/openAccessEsta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.http://purl.org/coar/access_right/c_abf2https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/16145Problema de Behrens-FisherEstadística multivariadatest estadísticoBehrens-Fisher problemMultivariate statisticstatistical teststests is an R package that provides a range of useful functions for conducting various statistical tests. It is a valuable package that offers several statistical tests for multivariate analysis.stests: librería de R para realizar pruebas de hipótesis multivariadasArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionTexthttp://purl.org/coar/version/c_970fb48d4fbd8a85B. M. Bennett. Note on a solution of the generalized behrens–fisher problem. Ann. Inst. Statist. Math., 2:87–90, 1951.J. Gamage, T. Mathew, and S. Weerahandi. Generalized p-values and generalized confidence regions for the multivariate behrens–fisher problem and manova. Journal of Multivariate Analysis, 88:177–189, 2004.G. James. Tests of linear hypotheses in univariate and multivariate analysis when the ratios of the population variances are unknown. Biometrika, 41:19–43, 1954.S. Johansen. The welch-james approximation to the distribution of the residual sum of squares in a weighted linear regression. Biometrika, 67(1):85–92, 1980.T. Kawasaki and T. Seo. A two sample test for mean vectors with unequal covariance matrices. Communications in Statistics - Simulation and Computations, 44:1850–1866, 2015.S.-J. Kim. A practical solution to the multivariate behrens-fisher problem. Biometrika, 79 (1):171–176, 1992. ISSN 00063444. URL http://www.jstor.org/stable/2337157.K. Krishnamoorthy and J. Yu. Modified Nel and Van der Merwe test for the multivariate behrens–fisher problem. Statistics & Probability Letters, 66(2):161–169, 2004.D. G. Nel and C. A. Van Der Merwe. A solution to the multivariate behrens-fisher problem. Communications in Statistics - Theory and Methods, 15(12):3719–3735, 1986.A. Rencher and W. Christensen. Methods of multivariate analysis. John Wiley & Sons, 2012.H. Scheffé. On solutions of the behrens-fisher problem, based on the t-distribution. The Annals of Mathematical Statistics, 14(1):35–44, 1943. ISSN 00034851. URL http://www.jstor.org/stable/2236000.G. A. Seber. Multivariate observations. John Wiley & Sons, 2009.W. N. Venables and B. D. Ripley. Modern Applied Statistics with S. Springer, New York, fourth edition, 2002. URL https://www.stats.ox.ac.uk/pub/MASS4/. ISBN 0-387-95457-0.H. Wickham, J. Hester, W. Chang, and J. Bryan. devtools: Tools to Make Developing R Packages Easier, 2022. URL https://CRAN.R-project.org/package=devtools. R package version 2.4.5.H. Yanagihara and K. Yuan. Three approximate solutions to the multivariate behrens-fisher problem. Communications in Statistics - Simulation and Computations, 34:975–988, 2005.Y. Yao. An approximate degrees of freedom solution to the multivariate beherens-fisher problem. Biometrika, 52(1/2):139–147, 1965.142213515Ciencia en Desarrollohttps://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/download/16145/14901Núm. 2 , Año 2024 : Vol. 15 Núm. 2 (2024): Vol 15, Núm.2 (2024): Julio-DiciembrePublicationOREORE.xmltext/xml2643https://repositorio.uptc.edu.co/bitstreams/52bb7130-4347-4b0b-845f-8f24f8ca5b1a/download9e42d67da2978fe845c9b8288e6ca83fMD51falseAnonymousREAD001/18742oai:repositorio.uptc.edu.co:001/187422026-10-30 07:02:08.878https://creativecommons.org/licenses/by-nc-nd/4.0/deed.esmetadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCbdigital@metabiblioteca.com

stests: librería de R para realizar pruebas de hipótesis multivariadas

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