Application of the Model of Principal Components Analysis on Romanian Insurance Market

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Principal components analysis (PCA) is a multivariate data analysis technique whose main purpose is to reduce the dimension of the observations and thus simplify the analysis and interpretation of data, as well as facilitate the construction of predictive models. A rigorous definition of PCA has bee...

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Bibliographic Details
Published in:Theoretical and Applied Economics
Main Authors: Dan Armeanu, Leonard Lache
Format: Article
Language:English
Published: General Association of Economists from Romania 2008-06-01
Subjects:
causal space
principal components
eigen values
variance
insurance
factor matrix
generalized variance.
Online Access:http://www.ectap.ro/articole/310.pdf
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