A brief review of the classic methods of experimental statistics
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 literatu...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Eduem (Editora da Universidade Estadual de Maringá)
2022-11-01
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Series: | Acta Scientiarum: Agronomy |
Subjects: | |
Online Access: | https://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/56882 |
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author | André Mundstock Xavier de Carvalho Fabrícia Queiroz Mendes Pedro Henrique de Castro Borges Matthew Kramer |
author_facet | André Mundstock Xavier de Carvalho Fabrícia Queiroz Mendes Pedro Henrique de Castro Borges Matthew Kramer |
author_sort | André Mundstock Xavier de Carvalho |
collection | DOAJ |
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.
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first_indexed | 2024-04-13T12:03:16Z |
format | Article |
id | doaj.art-e3473195538f4211b9bfb2b8153edc80 |
institution | Directory Open Access Journal |
issn | 1679-9275 1807-8621 |
language | English |
last_indexed | 2024-04-13T12:03:16Z |
publishDate | 2022-11-01 |
publisher | Eduem (Editora da Universidade Estadual de Maringá) |
record_format | Article |
series | Acta Scientiarum: Agronomy |
spelling | doaj.art-e3473195538f4211b9bfb2b8153edc802022-12-22T02:47:44ZengEduem (Editora da Universidade Estadual de Maringá)Acta Scientiarum: Agronomy1679-92751807-86212022-11-0145110.4025/actasciagron.v45i1.56882A brief review of the classic methods of experimental statisticsAndré Mundstock Xavier de Carvalho0Fabrícia Queiroz Mendes1Pedro Henrique de Castro Borges2Matthew Kramer3Universidade Federal de ViçosaUniversidade Federal de ViçosaUniversidade Federal de ViçosaU.S. Department of Agriculture 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. https://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/56882ANOVA assumptions; parametric statistics; agricultural experimentation. |
spellingShingle | André Mundstock Xavier de Carvalho Fabrícia Queiroz Mendes Pedro Henrique de Castro Borges Matthew Kramer A brief review of the classic methods of experimental statistics Acta Scientiarum: Agronomy ANOVA assumptions; parametric statistics; agricultural experimentation. |
title | 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_short | A brief review of the classic methods of experimental statistics |
title_sort | brief review of the classic methods of experimental statistics |
topic | ANOVA assumptions; parametric statistics; agricultural experimentation. |
url | https://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/56882 |
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