Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/48303
Título: An index to evaluate the acceptance of specialty coffees in consumer groups
Palavras-chave: Models
Coffee - Quality
Bootstrap
Acaia
Bourbon
Cafés especiais
Café - Qualidade
Aceitação do consumidor
Data do documento: Out-2020
Editor: Associação Brasileira de Engenharia Agrícola - SBEA
Citação: 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.
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.
URI: http://repositorio.ufla.br/jspui/handle/1/48303
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DEX - Artigos publicados em periódicos

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