AN INDEX TO EVALUATE THE ACCEPTANCE OF SPECIALTY COFFEES IN CONSUMER GROUPS
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Engenharia Agrícola |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000500624 |
Resumo: | ABSTRACT Numerous factors are related to the individual sensory perception of consumers, which makes it impossible to adapt a model that explains their behavior. In this context and given the scarcity of statistical indexes that evaluate preferences for specialty coffees, new statistical methods should be studied. To this end, our study aimed to create an index that measures the acceptance of specialty coffees. The index was built considering the fit of regression models as a function of principal component scores. Validation was done by significance tests, whose probabilities were obtained by bootstrapping, considering the main measures used in diagnosing outliers as weights, with application to real data from different consumer groups. The coffee varieties Acaia and Bourbon were discriminated in relation to altitude. In conclusion, the index was adequate for the analysis and characterization of specialty coffees grown at different altitudes. |
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AN INDEX TO EVALUATE THE ACCEPTANCE OF SPECIALTY COFFEES IN CONSUMER GROUPSmodelsqualitybootstrapAcaiaBourbonABSTRACT Numerous factors are related to the individual sensory perception of consumers, which makes it impossible to adapt a model that explains their behavior. In this context and given the scarcity of statistical indexes that evaluate preferences for specialty coffees, new statistical methods should be studied. To this end, our study aimed to create an index that measures the acceptance of specialty coffees. The index was built considering the fit of regression models as a function of principal component scores. Validation was done by significance tests, whose probabilities were obtained by bootstrapping, considering the main measures used in diagnosing outliers as weights, with application to real data from different consumer groups. The coffee varieties Acaia and Bourbon were discriminated in relation to altitude. In conclusion, the index was adequate for the analysis and characterization of specialty coffees grown at different altitudes.Associação Brasileira de Engenharia Agrícola2020-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000500624Engenharia Agrícola v.40 n.5 2020reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/1809-4430-eng.agric.v40n5p624-630/2020info:eu-repo/semantics/openAccessResende,MarianaCirillo,Marcelo Â.Borém,Flávio M.eng2020-10-07T00:00:00Zoai:scielo:S0100-69162020000500624Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2020-10-07T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false |
dc.title.none.fl_str_mv |
AN INDEX TO EVALUATE THE ACCEPTANCE OF SPECIALTY COFFEES IN CONSUMER GROUPS |
title |
AN INDEX TO EVALUATE THE ACCEPTANCE OF SPECIALTY COFFEES IN CONSUMER GROUPS |
spellingShingle |
AN INDEX TO EVALUATE THE ACCEPTANCE OF SPECIALTY COFFEES IN CONSUMER GROUPS Resende,Mariana models quality bootstrap Acaia Bourbon |
title_short |
AN INDEX TO EVALUATE THE ACCEPTANCE OF SPECIALTY COFFEES IN CONSUMER GROUPS |
title_full |
AN INDEX TO EVALUATE THE ACCEPTANCE OF SPECIALTY COFFEES IN CONSUMER GROUPS |
title_fullStr |
AN INDEX TO EVALUATE THE ACCEPTANCE OF SPECIALTY COFFEES IN CONSUMER GROUPS |
title_full_unstemmed |
AN INDEX TO EVALUATE THE ACCEPTANCE OF SPECIALTY COFFEES IN CONSUMER GROUPS |
title_sort |
AN INDEX TO EVALUATE THE ACCEPTANCE OF SPECIALTY COFFEES IN CONSUMER GROUPS |
author |
Resende,Mariana |
author_facet |
Resende,Mariana Cirillo,Marcelo Â. Borém,Flávio M. |
author_role |
author |
author2 |
Cirillo,Marcelo Â. Borém,Flávio M. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Resende,Mariana Cirillo,Marcelo Â. Borém,Flávio M. |
dc.subject.por.fl_str_mv |
models quality bootstrap Acaia Bourbon |
topic |
models quality bootstrap Acaia Bourbon |
description |
ABSTRACT Numerous factors are related to the individual sensory perception of consumers, which makes it impossible to adapt a model that explains their behavior. In this context and given the scarcity of statistical indexes that evaluate preferences for specialty coffees, new statistical methods should be studied. To this end, our study aimed to create an index that measures the acceptance of specialty coffees. The index was built considering the fit of regression models as a function of principal component scores. Validation was done by significance tests, whose probabilities were obtained by bootstrapping, considering the main measures used in diagnosing outliers as weights, with application to real data from different consumer groups. The coffee varieties Acaia and Bourbon were discriminated in relation to altitude. In conclusion, the index was adequate for the analysis and characterization of specialty coffees grown at different altitudes. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-10-01 |
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=S0100-69162020000500624 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000500624 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1809-4430-eng.agric.v40n5p624-630/2020 |
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 |
Associação Brasileira de Engenharia Agrícola |
publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Agrícola |
dc.source.none.fl_str_mv |
Engenharia Agrícola v.40 n.5 2020 reponame:Engenharia Agrícola instname:Associação Brasileira de Engenharia Agrícola (SBEA) instacron:SBEA |
instname_str |
Associação Brasileira de Engenharia Agrícola (SBEA) |
instacron_str |
SBEA |
institution |
SBEA |
reponame_str |
Engenharia Agrícola |
collection |
Engenharia Agrícola |
repository.name.fl_str_mv |
Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA) |
repository.mail.fl_str_mv |
revistasbea@sbea.org.br||sbea@sbea.org.br |
_version_ |
1752126274880405504 |