Optimal sample plans for multiresponse and multisubject experiments

[EN] In designed experiments quite often several variables are observed, which complicates the covariance structure of the data, especially when the objective is to observe the evolution of different characteristics along the time. Initial studies have been made assuming that the samples were taken...

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Detalhes bibliográficos
Autor: Rodríguez Díaz, Juan Manuel
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2022
País:España
Recursos:Universidad de Salamanca (USAL)
Repositório:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/159543
Acesso em linha:http://hdl.handle.net/10366/159543
Access Level:Acceso aberto
Palavra-chave:Multiresponse model
Multisubject experiment
Optimal design
Two-way covariance
Time-depending experiments
1209 Estadística
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spelling Optimal sample plans for multiresponse and multisubject experimentsRodríguez Díaz, Juan ManuelMultiresponse modelMultisubject experimentOptimal designTwo-way covarianceTime-depending experiments1209 Estadística[EN] In designed experiments quite often several variables are observed, which complicates the covariance structure of the data, especially when the objective is to observe the evolution of different characteristics along the time. Initial studies have been made assuming that the samples were taken on the same experimental unit, and thus some characteristics were assumed to keep constant for all the process. In the present work, a multisubject experiment is considered, which allows a variety of modifications of the previous paradigm: from considering different characteristics in the individuals, to equal or distinct models for the responses in each subject and the possibility to use several evolution models. Analytical results have been obtained, and an example were different bacteria are observed along the time has been analyzed and discussed.Publicación en abierto financiada por la Universidad de Salamanca como participante en el Acuerdo Transformativo CRUE-CSIC con Elsevier, 2021-2024Elsevier202420242022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10366/159543reponame:GREDOS. Repositorio Institucional de la Universidad de Salamancainstname:Universidad de Salamanca (USAL)InglésAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:gredos.usal.es:10366/1595432026-06-07T06:28:51Z
dc.title.none.fl_str_mv Optimal sample plans for multiresponse and multisubject experiments
title Optimal sample plans for multiresponse and multisubject experiments
spellingShingle Optimal sample plans for multiresponse and multisubject experiments
Rodríguez Díaz, Juan Manuel
Multiresponse model
Multisubject experiment
Optimal design
Two-way covariance
Time-depending experiments
1209 Estadística
title_short Optimal sample plans for multiresponse and multisubject experiments
title_full Optimal sample plans for multiresponse and multisubject experiments
title_fullStr Optimal sample plans for multiresponse and multisubject experiments
title_full_unstemmed Optimal sample plans for multiresponse and multisubject experiments
title_sort Optimal sample plans for multiresponse and multisubject experiments
dc.creator.none.fl_str_mv Rodríguez Díaz, Juan Manuel
author Rodríguez Díaz, Juan Manuel
author_facet Rodríguez Díaz, Juan Manuel
author_role author
dc.subject.none.fl_str_mv Multiresponse model
Multisubject experiment
Optimal design
Two-way covariance
Time-depending experiments
1209 Estadística
topic Multiresponse model
Multisubject experiment
Optimal design
Two-way covariance
Time-depending experiments
1209 Estadística
description [EN] In designed experiments quite often several variables are observed, which complicates the covariance structure of the data, especially when the objective is to observe the evolution of different characteristics along the time. Initial studies have been made assuming that the samples were taken on the same experimental unit, and thus some characteristics were assumed to keep constant for all the process. In the present work, a multisubject experiment is considered, which allows a variety of modifications of the previous paradigm: from considering different characteristics in the individuals, to equal or distinct models for the responses in each subject and the possibility to use several evolution models. Analytical results have been obtained, and an example were different bacteria are observed along the time has been analyzed and discussed.
publishDate 2022
dc.date.none.fl_str_mv 2022
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10366/159543
url http://hdl.handle.net/10366/159543
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname:Universidad de Salamanca (USAL)
instname_str Universidad de Salamanca (USAL)
reponame_str GREDOS. Repositorio Institucional de la Universidad de Salamanca
collection GREDOS. Repositorio Institucional de la Universidad de Salamanca
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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