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Multivariate statistical methods applied to the differentiation of rum brands
Author(s) -
Herranz Alberto,
de la Serna Pilar,
Barro Carmen,
MartinAlvarez Pedro Jesus
Publication year - 1990
Publication title -
journal of the science of food and agriculture
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.782
H-Index - 142
eISSN - 1097-0010
pISSN - 0022-5142
DOI - 10.1002/jsfa.2740510412
Subject(s) - multivariate statistics , multivariate analysis , linear discriminant analysis , statistical analysis , multivariate analysis of variance , cluster (spacecraft) , statistics , mathematics , chemistry , computer science , programming language
Several multivariate statistical methods (discriminant, factor and cluster analysis) have been applied to analytical data for major volatile components, volatile esters and carboxylic acids collected from various rum samples in order to distinguish between genuine rum of a well known and expensive brand and other less expensive rums.