Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/13024
metadata.artigo.dc.title: Selection of robust estimator usedin analysis of sensory characteristics and identification of environments conducive to specialty coffee production
metadata.artigo.dc.creator: Chagas, Elcio do Nascimento
Morais, Augusto Ramalho de
Cirillo, Marcelo Angelo
Figueiredo, Luisa Pereira
Borém, Flávio Meira
metadata.artigo.dc.subject: Outliers
Robust estimation
Minimum Covariance Determinant
Estimativa robusta
Determinante mínimo de covariância
metadata.artigo.dc.publisher: Knowledges Publisher
metadata.artigo.dc.date.issued: 2013
metadata.artigo.dc.identifier.citation: CHAGAS, E. do N. et al. Selection of robust estimator usedin analysis of sensory characteristics and identification of environments conducive to specialty coffee production. Advanced Crop Science, [S. l.], v. 3, n. 8, p. 515-524, 2013.
metadata.artigo.dc.description.abstract: We 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.
metadata.artigo.dc.identifier.uri: https://media.wix.com/ugd/87c4a4_e79d3ed8ef174713ba7525ecdc44dfde.pdf
http://repositorio.ufla.br/jspui/handle/1/13024
metadata.artigo.dc.language: en_US
Appears in Collections:DEG - Artigos publicados em periódicos
DEX - Artigos publicados em periódicos

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