Analysis of an European union election using principal component analysis
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DOI: 10.1007/s00362-009-0264-2
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- Heewon Park & Sadanori Konishi, 2020. "Sparse common component analysis for multiple high-dimensional datasets via noncentered principal component analysis," Statistical Papers, Springer, vol. 61(6), pages 2283-2311, December.
- Michail Tsagris & Simon Preston & Andrew T. A. Wood, 2016. "Improved Classification for Compositional Data Using the α-transformation," Journal of Classification, Springer;The Classification Society, vol. 33(2), pages 243-261, July.
- Luis Eduardo Sandoval Garrido & Margarita Marín-Jaramillo, 2022. "Presidential Elections and Municipal Development: The Colombian Case (1986-2014)," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 97, pages 113-148, July-Dece.
- Tsagris, Michail, 2014. "The k-NN algorithm for compositional data: a revised approach with and without zero values present," MPRA Paper 65866, University Library of Munich, Germany.
- Tsagris, Michail & Preston, Simon & T.A. Wood, Andrew, 2016. "Improved classi cation for compositional data using the $\alpha$-transformation," MPRA Paper 67657, University Library of Munich, Germany.
- Haydar Demirhan & Kamil Demirhan, 2016. "A Bayesian approach for the estimation of probability distributions under finite sample space," Statistical Papers, Springer, vol. 57(3), pages 589-603, September.
- Tsagris, Michail & Preston, Simon & T.A. Wood, Andrew, 2016. "Nonparametric hypothesis testing for equality of means on the simplex," MPRA Paper 72771, University Library of Munich, Germany.
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More about this item
Keywords
Compositional data; Principal component analysis; Crude PCA; Logcontrast PCA; Electoral data; 02.50.Sk; 02.70.Rr; 62H25; 62P25;All these keywords.
JEL classification:
Statistics
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