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...

Full description

Bibliographic Details
Main Authors: André Mundstock Xavier de Carvalho, Fabrícia Queiroz Mendes, Pedro Henrique de Castro Borges, Matthew Kramer
Format: Article
Language:English
Published: Eduem (Editora da Universidade Estadual de Maringá) 2022-11-01
Series:Acta Scientiarum: Agronomy
Subjects:
Online Access:https://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/56882
_version_ 1811317163588321280
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.
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
work_keys_str_mv AT andremundstockxavierdecarvalho abriefreviewoftheclassicmethodsofexperimentalstatistics
AT fabriciaqueirozmendes abriefreviewoftheclassicmethodsofexperimentalstatistics
AT pedrohenriquedecastroborges abriefreviewoftheclassicmethodsofexperimentalstatistics
AT matthewkramer abriefreviewoftheclassicmethodsofexperimentalstatistics
AT andremundstockxavierdecarvalho briefreviewoftheclassicmethodsofexperimentalstatistics
AT fabriciaqueirozmendes briefreviewoftheclassicmethodsofexperimentalstatistics
AT pedrohenriquedecastroborges briefreviewoftheclassicmethodsofexperimentalstatistics
AT matthewkramer briefreviewoftheclassicmethodsofexperimentalstatistics