Use este identificador para citar ou linkar para este item: repositorio.ufla.br/jspui/handle/1/13024
Título : Selection of robust estimator usedin analysis of sensory characteristics and identification of environments conducive to specialty coffee production
Autor: Chagas, Elcio do Nascimento
Morais, Augusto Ramalho de
Cirillo, Marcelo Angelo
Figueiredo, Luisa Pereira
Borém, Flávio Meira
Palavras-chave: Outliers
Robust estimation
Minimum Covariance Determinant
Estimativa robusta
Determinante mínimo de covariância
Publicador: Knowledges Publisher
Data da publicação: 2013
Referência: 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.
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.
URI: https://media.wix.com/ugd/87c4a4_e79d3ed8ef174713ba7525ecdc44dfde.pdf
http://repositorio.ufla.br/jspui/handle/1/13024
Idioma: en_US
Aparece nas coleções:DEG - Artigos publicados em periódicos
DEX - Artigos publicados em periódicos

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