Classification of the coefficient of variation to variables in beef cattle experiments
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Ciência Rural |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017001100651 |
Resumo: | ABSTRACT: This research was conducted to propose a classification of the coefficient of variation (CV%) in many categories of variables of production and carcass of beef cattle experiments. The data was collected from theses and dissertations. We used the methods of classification considering mean and standard deviation, and considering median and pseudo-sigma. The two methods showed similar results so both can be used to classify CV%. We propose only three categories to rank CV%: low, medium and high. |
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oai:scielo:S0103-84782017001100651 |
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UFSM-2 |
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Ciência rural (Online) |
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|
spelling |
Classification of the coefficient of variation to variables in beef cattle experimentsanimal scienceanimal experimentationvariabilityABSTRACT: This research was conducted to propose a classification of the coefficient of variation (CV%) in many categories of variables of production and carcass of beef cattle experiments. The data was collected from theses and dissertations. We used the methods of classification considering mean and standard deviation, and considering median and pseudo-sigma. The two methods showed similar results so both can be used to classify CV%. We propose only three categories to rank CV%: low, medium and high.Universidade Federal de Santa Maria2017-11-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017001100651Ciência Rural v.47 n.11 2017reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20160946info:eu-repo/semantics/openAccessVaz,Marcos André BrazPacheco,Paulo SantanaSeidel,Enio JúniorAnsuj,Angela Pellegrineng2017-09-18T00:00:00ZRevista |
dc.title.none.fl_str_mv |
Classification of the coefficient of variation to variables in beef cattle experiments |
title |
Classification of the coefficient of variation to variables in beef cattle experiments |
spellingShingle |
Classification of the coefficient of variation to variables in beef cattle experiments Vaz,Marcos André Braz animal science animal experimentation variability |
title_short |
Classification of the coefficient of variation to variables in beef cattle experiments |
title_full |
Classification of the coefficient of variation to variables in beef cattle experiments |
title_fullStr |
Classification of the coefficient of variation to variables in beef cattle experiments |
title_full_unstemmed |
Classification of the coefficient of variation to variables in beef cattle experiments |
title_sort |
Classification of the coefficient of variation to variables in beef cattle experiments |
author |
Vaz,Marcos André Braz |
author_facet |
Vaz,Marcos André Braz Pacheco,Paulo Santana Seidel,Enio Júnior Ansuj,Angela Pellegrin |
author_role |
author |
author2 |
Pacheco,Paulo Santana Seidel,Enio Júnior Ansuj,Angela Pellegrin |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Vaz,Marcos André Braz Pacheco,Paulo Santana Seidel,Enio Júnior Ansuj,Angela Pellegrin |
dc.subject.por.fl_str_mv |
animal science animal experimentation variability |
topic |
animal science animal experimentation variability |
description |
ABSTRACT: This research was conducted to propose a classification of the coefficient of variation (CV%) in many categories of variables of production and carcass of beef cattle experiments. The data was collected from theses and dissertations. We used the methods of classification considering mean and standard deviation, and considering median and pseudo-sigma. The two methods showed similar results so both can be used to classify CV%. We propose only three categories to rank CV%: low, medium and high. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-11-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017001100651 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017001100651 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0103-8478cr20160946 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
dc.source.none.fl_str_mv |
Ciência Rural v.47 n.11 2017 reponame:Ciência Rural instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Ciência Rural |
collection |
Ciência Rural |
repository.name.fl_str_mv |
|
repository.mail.fl_str_mv |
|
_version_ |
1749140552063909888 |