Analysis of an European union election using principal component analysis-Reference-Cited by-同舟云学术

Analysis of an European union election using principal component analysis

Published:2009-08 Issue:4 Volume:50 Page:895-904
ISSN:0932-5026
Container-title:Statistical Papers
language:en
Short-container-title:Stat Papers

Author:

Rodrigues Paulo C.,Lima Ana T.

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s00362-009-0264-2.pdf

Reference13 articles.

1. Aitchison J (1983) Principal component analysis of compositional data. Biometrika 70: 57–61

2. Aitchison J (1986) The statistical analysis of compositional data. Springer, London

3. Barceló-Vidal C (2003) When a data set can be considered compositional? In: CoDaWork03: Compositional Data Analysis Workshop, Girona, Spain. Available at http://ima.udg.es/Activitats/CoDaWork03/

4. Bradu D, Gabriel KR (1978) The biplot as a diagnostic tool for models of two-way tables. Technometrics 20: 47–68

5. Butler A, Glasbey C (2008) A latent Gaussian model for compositional data with zeros. J R Stat Soc C Appl Stat 57: 505–520

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