Aplicarea metodei statistice de analiză multivariată „Analiza în Componente Principale” în identificarea similarității mărcilor autohtone de „bere” cu cele de pe piața UE

Abstract

In the article is outlined the essence and importance of multivariate statistical method "Principal Components Analysis", and its application in identifying similarity between national "beer" product and the EU “beer” products. ACP technique, use mathematical procedures to convert a set of related observations into a set of values of uncorrelated variables called “principal linear components”. Usually the number of principal components is less or equal to the original variables. This transformation is defined in such way, that first component have the biggest variation. The main components are guaranteed to be independent only if the data set follows a normal distribution.