A brief review of the classic methods of experimental statistics

Detalhes bibliográficos
Autor(a) principal: Carvalho, André Mundstock Xavier de
Data de Publicação: 2022
Outros Autores: Mendes, Fabrícia Queiroz, Borges, Pedro Henrique de Castro, Kramer, Matthew
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta Scientiarum. Agronomy (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/56882
Resumo: Experimental statistics are a key element for innovation in the agricultural sector. Commonly used statistical methods in experimentation are relatively simple, reliable, and widely used. However, the many problems in the quality of statistical analyses reported in the agricultural science literature highlight a need for continuing discussion on and updating of this topic. This article reviews critical points about classic linear models procedures commonly used in agricultural statistics, frequent procedures in publications in the agricultural sciences. Due to the evolution of statistical science some common recommendations from the past should no longer be followed.
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spelling A brief review of the classic methods of experimental statisticsA brief review of the classic methods of experimental statisticsANOVA assumptions; parametric statistics; agricultural experimentation.ANOVA assumptions; parametric statistics; agricultural experimentation.Experimental statistics are a key element for innovation in the agricultural sector. Commonly used statistical methods in experimentation are relatively simple, reliable, and widely used. However, the many problems in the quality of statistical analyses reported in the agricultural science literature highlight a need for continuing discussion on and updating of this topic. This article reviews critical points about classic linear models procedures commonly used in agricultural statistics, frequent procedures in publications in the agricultural sciences. Due to the evolution of statistical science some common recommendations from the past should no longer be followed.Experimental statistics are a key element for innovation in the agricultural sector. Commonly used statistical methods in experimentation are relatively simple, reliable, and widely used. However, the many problems in the quality of statistical analyses reported in the agricultural science literature highlight a need for continuing discussion on and updating of this topic. This article reviews critical points about classic linear models procedures commonly used in agricultural statistics, frequent procedures in publications in the agricultural sciences. Due to the evolution of statistical science some common recommendations from the past should no longer be followed.Universidade Estadual de Maringá2022-11-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/5688210.4025/actasciagron.v45i1.56882Acta Scientiarum. Agronomy; Vol 45 (2023): Publicação contínua; e56882Acta Scientiarum. Agronomy; v. 45 (2023): Publicação contínua; e568821807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/56882/751375155035Copyright (c) 2023 Acta Scientiarum. Agronomyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCarvalho, André Mundstock Xavier de Mendes, Fabrícia Queiroz Borges, Pedro Henrique de Castro Kramer, Matthew 2023-01-31T19:21:24Zoai:periodicos.uem.br/ojs:article/56882Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2023-01-31T19:21:24Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv A brief review of the classic methods of experimental statistics
A brief review of the classic methods of experimental statistics
title A brief review of the classic methods of experimental statistics
spellingShingle A brief review of the classic methods of experimental statistics
Carvalho, André Mundstock Xavier de
ANOVA assumptions; parametric statistics; agricultural experimentation.
ANOVA assumptions; parametric statistics; agricultural experimentation.
title_short A brief review of the classic methods of experimental statistics
title_full A brief review of the classic methods of experimental statistics
title_fullStr A brief review of the classic methods of experimental statistics
title_full_unstemmed A brief review of the classic methods of experimental statistics
title_sort A brief review of the classic methods of experimental statistics
author Carvalho, André Mundstock Xavier de
author_facet Carvalho, André Mundstock Xavier de
Mendes, Fabrícia Queiroz
Borges, Pedro Henrique de Castro
Kramer, Matthew
author_role author
author2 Mendes, Fabrícia Queiroz
Borges, Pedro Henrique de Castro
Kramer, Matthew
author2_role author
author
author
dc.contributor.author.fl_str_mv Carvalho, André Mundstock Xavier de
Mendes, Fabrícia Queiroz
Borges, Pedro Henrique de Castro
Kramer, Matthew
dc.subject.por.fl_str_mv ANOVA assumptions; parametric statistics; agricultural experimentation.
ANOVA assumptions; parametric statistics; agricultural experimentation.
topic ANOVA assumptions; parametric statistics; agricultural experimentation.
ANOVA assumptions; parametric statistics; agricultural experimentation.
description Experimental statistics are a key element for innovation in the agricultural sector. Commonly used statistical methods in experimentation are relatively simple, reliable, and widely used. However, the many problems in the quality of statistical analyses reported in the agricultural science literature highlight a need for continuing discussion on and updating of this topic. This article reviews critical points about classic linear models procedures commonly used in agricultural statistics, frequent procedures in publications in the agricultural sciences. Due to the evolution of statistical science some common recommendations from the past should no longer be followed.
publishDate 2022
dc.date.none.fl_str_mv 2022-11-22
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/56882
10.4025/actasciagron.v45i1.56882
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/56882
identifier_str_mv 10.4025/actasciagron.v45i1.56882
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/56882/751375155035
dc.rights.driver.fl_str_mv Copyright (c) 2023 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual de Maringá
publisher.none.fl_str_mv Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Agronomy; Vol 45 (2023): Publicação contínua; e56882
Acta Scientiarum. Agronomy; v. 45 (2023): Publicação contínua; e56882
1807-8621
1679-9275
reponame:Acta Scientiarum. Agronomy (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta Scientiarum. Agronomy (Online)
collection Acta Scientiarum. Agronomy (Online)
repository.name.fl_str_mv Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br
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