Selection of robust estimator usedin analysis of sensory characteristics and identification of environments conducive to specialty coffee production

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorChagas, Elcio do Nascimento-
Autor(es): dc.creatorMorais, Augusto Ramalho de-
Autor(es): dc.creatorCirillo, Marcelo Angelo-
Autor(es): dc.creatorFigueiredo, Luisa Pereira-
Autor(es): dc.creatorBorém, Flávio Meira-
Data de aceite: dc.date.accessioned2026-02-09T12:16:46Z-
Data de disponibilização: dc.date.available2026-02-09T12:16:46Z-
Data de envio: dc.date.issued2017-05-22-
Data de envio: dc.date.issued2017-05-22-
Data de envio: dc.date.issued2013-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/13024-
Fonte completa do material: dc.identifierhttps://media.wix.com/ugd/87c4a4_e79d3ed8ef174713ba7525ecdc44dfde.pdf-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1158101-
Descrição: dc.descriptionWe propose multivariate regression models to identify environments for specialty coffee production. Simulation studies were carried out, taking as criterion the relative statistical efficiency between robust and non robust estimators in the presence of outliers related to covariance matrix of data. After selecting the model, we considered the sensory variables Aroma, Flavor, Acidity, Body and Balance, and the following chemical variables: final contents of trigonelline, chlorogenic acids and caffeine in the analysis of 14 genotypes of Bourbon cultivar evaluated in experiments in different environments. We concluded that the regression model considering MCD method showed larger evidence for identifying environments for specialty coffee production. In the case of MVE method, the multiple model showed greater evidence for discriminating genotypes.-
Idioma: dc.languageen-
Publicador: dc.publisherKnowledges Publisher-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceAdvanced Crop Science-
Palavras-chave: dc.subjectOutliers-
Palavras-chave: dc.subjectRobust estimation-
Palavras-chave: dc.subjectMinimum Covariance Determinant-
Palavras-chave: dc.subjectEstimativa robusta-
Palavras-chave: dc.subjectDeterminante mínimo de covariância-
Título: dc.titleSelection of robust estimator usedin analysis of sensory characteristics and identification of environments conducive to specialty coffee production-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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