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Year of publication
Subject
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factor matrix 2 generalized variance 2 principal components 2 causal space 1 classification 1 covariance matrix 1 eigen values 1 eigenvalue 1 eigenvector 1 factor loadings 1 factor scores 1 insurance 1 original variables 1 total variance 1 variance 1
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Online availability
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Free 2
Type of publication
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Article 2
Language
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English 2
Author
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Armeanu, Dan 1 Armeanu, Daniel 1 Dedu, Vasile 1 Enciu, Adrian 1 Lache, Leonard 1
Published in...
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Journal for Economic Forecasting 1 Theoretical and Applied Economics 1
Source
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RePEc 2
Showing 1 - 2 of 2
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Using the Multivariate Data Analysis Techniques on the Insurance Market
Dedu, Vasile; Armeanu, Daniel; Enciu, Adrian - In: Journal for Economic Forecasting (2009) 4, pp. 170-179
In the present financial theory, we confront with complex economic phenomena and activities which cannot be studied or analyzed profoundly because of the plurality of existing variables, ratios and information. The economic, financial and social activity carried on under crisis or economic...
Persistent link: https://www.econbiz.de/10008561106
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Application of the Model of Principal Components Analysis on Romanian Insurance Market
Armeanu, Dan; Lache, Leonard - In: Theoretical and Applied Economics 6(523) (2008) 6(523), pp. 11-20
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...
Persistent link: https://www.econbiz.de/10005581556
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