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  • Search: subject:"Logratio transformation"
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Year of publication
Subject
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singular value decomposition 3 contingency tables 2 logratio transformation 2 Biplot 1 Compositional data 1 Logratio transformation 1 compositional data 1 correspondence analysis 1 distributional equivalence 1 principal component analysis 1 relative variation biplot 1 spectral map 1 subcomposition 1 subcompositional coherence 1 weighting 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 3
Language
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English 3
Author
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Greenacre, Michael 3 Aitchison, J. 1
Institution
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Department of Economics and Business, Universitat Pompeu Fabra 3
Published in...
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Economics Working Papers / Department of Economics and Business, Universitat Pompeu Fabra 3
Source
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RePEc 3
Showing 1 - 3 of 3
Cover Image
Dynamic graphics of parametrically linked multivariate methods used in compositional data analysis
Greenacre, Michael - Department of Economics and Business, Universitat … - 2008
Many multivariate methods that are apparently distinct can be linked by introducing one or more parameters in their definition. Methods that can be linked in this way are correspondence analysis, unweighted or weighted logratio analysis (the latter also known as "spectral mapping"), nonsymmetric...
Persistent link: https://www.econbiz.de/10005704926
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Cover Image
Ratio maps and correspondence analysis
Greenacre, Michael - Department of Economics and Business, Universitat … - 2002
We compare two methods for visualising contingency tables and develop a method called the ratio map which combines the good properties of both. The first is a biplot based on the logratio approach to compositional data analysis. This approach is founded on the principle of subcompositional...
Persistent link: https://www.econbiz.de/10005707969
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Cover Image
Biplots of compositional data
Aitchison, J.; Greenacre, Michael - Department of Economics and Business, Universitat … - 2001
The singular value decomposition and its interpretation as a linear biplot has proved to be a powerful tool for analysing many forms of multivariate data. Here we adapt biplot methodology to the speciffic case of compositional data consisting of positive vectors each of which is constrained to...
Persistent link: https://www.econbiz.de/10005772202
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