Alternative to Tukey test

Detalhes bibliográficos
Autor(a) principal: Batista,Ben Dêivide de Oliveira
Data de Publicação: 2020
Outros Autores: Ferreira,Daniel Furtado
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência e Agrotecnologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542020000100240
Resumo: ABSTRACT In order to search for an ideal test for multiple comparison procedures, this study aimed to develop two tests, similar to the Tukey and SNK tests, based on the distribution of the externally studentized amplitude. The test names are Tukey Midrange (TM) and SNK Midrange (SNKM). The tests were evaluated based on the experimentwise error rate and power, using Monte Carlo simulation. The results showed that the TM test could be an alternative to the Tukey test, since it presented superior performances in some simulated scenarios. On the other hand, the SNKM test performed less than the SNK test.
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network_name_str Ciência e Agrotecnologia (Online)
repository_id_str
spelling Alternative to Tukey testType I error ratesimulationrangemidrangemidrangeMCP package.ABSTRACT In order to search for an ideal test for multiple comparison procedures, this study aimed to develop two tests, similar to the Tukey and SNK tests, based on the distribution of the externally studentized amplitude. The test names are Tukey Midrange (TM) and SNK Midrange (SNKM). The tests were evaluated based on the experimentwise error rate and power, using Monte Carlo simulation. The results showed that the TM test could be an alternative to the Tukey test, since it presented superior performances in some simulated scenarios. On the other hand, the SNKM test performed less than the SNK test.Editora da UFLA2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542020000100240Ciência e Agrotecnologia v.44 2020reponame:Ciência e Agrotecnologia (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLA10.1590/1413-7054202044008020info:eu-repo/semantics/openAccessBatista,Ben Dêivide de OliveiraFerreira,Daniel Furtadoeng2020-11-13T00:00:00Zoai:scielo:S1413-70542020000100240Revistahttp://www.scielo.br/cagroPUBhttps://old.scielo.br/oai/scielo-oai.php||renpaiva@dbi.ufla.br|| editora@editora.ufla.br1981-18291413-7054opendoar:2022-11-22T16:31:42.915053Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Alternative to Tukey test
title Alternative to Tukey test
spellingShingle Alternative to Tukey test
Batista,Ben Dêivide de Oliveira
Type I error rate
simulation
range
midrange
midrangeMCP package.
title_short Alternative to Tukey test
title_full Alternative to Tukey test
title_fullStr Alternative to Tukey test
title_full_unstemmed Alternative to Tukey test
title_sort Alternative to Tukey test
author Batista,Ben Dêivide de Oliveira
author_facet Batista,Ben Dêivide de Oliveira
Ferreira,Daniel Furtado
author_role author
author2 Ferreira,Daniel Furtado
author2_role author
dc.contributor.author.fl_str_mv Batista,Ben Dêivide de Oliveira
Ferreira,Daniel Furtado
dc.subject.por.fl_str_mv Type I error rate
simulation
range
midrange
midrangeMCP package.
topic Type I error rate
simulation
range
midrange
midrangeMCP package.
description ABSTRACT In order to search for an ideal test for multiple comparison procedures, this study aimed to develop two tests, similar to the Tukey and SNK tests, based on the distribution of the externally studentized amplitude. The test names are Tukey Midrange (TM) and SNK Midrange (SNKM). The tests were evaluated based on the experimentwise error rate and power, using Monte Carlo simulation. The results showed that the TM test could be an alternative to the Tukey test, since it presented superior performances in some simulated scenarios. On the other hand, the SNKM test performed less than the SNK test.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
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=S1413-70542020000100240
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542020000100240
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1413-7054202044008020
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 Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv Ciência e Agrotecnologia v.44 2020
reponame:Ciência e Agrotecnologia (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Ciência e Agrotecnologia (Online)
collection Ciência e Agrotecnologia (Online)
repository.name.fl_str_mv Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv ||renpaiva@dbi.ufla.br|| editora@editora.ufla.br
_version_ 1799874971251507200

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