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: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/48303 |
Resumo: | 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 groupsModelsCoffee - QualityBootstrapAcaiaBourbonCafés especiaisCafé - QualidadeAceitação do consumidorNumerous 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 Agrícola - SBEA2021-10-01T20:30:06Z2021-10-01T20:30:06Z2020-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfRESENDE, M.; CIRILLO, M. Â.; BORÉM, F. M. An index to evaluate the acceptance of specialty coffees in consumer groups. Engenharia Agrícola, Jaboticabal, v. 40, n. 5, p. 624-630, set./out. 2020. DOI: http://dx.doi.org/10.1590/1809-4430-Eng.Agric.v40n5p624-630/2020.http://repositorio.ufla.br/jspui/handle/1/48303Engenharia Agrícolareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessResende, MarianaCirillo, Marcelo Â.Borém, Flávio M.eng2023-05-26T19:37:55Zoai:localhost:1/48303Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-26T19:37:55Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)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 Coffee - Quality Bootstrap Acaia Bourbon Cafés especiais Café - Qualidade Aceitação do consumidor |
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 Coffee - Quality Bootstrap Acaia Bourbon Cafés especiais Café - Qualidade Aceitação do consumidor |
topic |
Models Coffee - Quality Bootstrap Acaia Bourbon Cafés especiais Café - Qualidade Aceitação do consumidor |
description |
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 2021-10-01T20:30:06Z 2021-10-01T20:30:06Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
RESENDE, M.; CIRILLO, M. Â.; BORÉM, F. M. An index to evaluate the acceptance of specialty coffees in consumer groups. Engenharia Agrícola, Jaboticabal, v. 40, n. 5, p. 624-630, set./out. 2020. DOI: http://dx.doi.org/10.1590/1809-4430-Eng.Agric.v40n5p624-630/2020. http://repositorio.ufla.br/jspui/handle/1/48303 |
identifier_str_mv |
RESENDE, M.; CIRILLO, M. Â.; BORÉM, F. M. An index to evaluate the acceptance of specialty coffees in consumer groups. Engenharia Agrícola, Jaboticabal, v. 40, n. 5, p. 624-630, set./out. 2020. DOI: http://dx.doi.org/10.1590/1809-4430-Eng.Agric.v40n5p624-630/2020. |
url |
http://repositorio.ufla.br/jspui/handle/1/48303 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Agrícola - SBEA |
publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Agrícola - SBEA |
dc.source.none.fl_str_mv |
Engenharia Agrícola reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
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1807835224865767424 |