A brief review of the classic methods of experimental statistics
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
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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Acta Scientiarum. Agronomy (Online) |
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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 |
_version_ |
1799305901163675648 |