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Analysis of an European union election using principal component analysis

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  • Paulo Rodrigues
  • Ana Lima

Abstract

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Suggested Citation

  • Paulo Rodrigues & Ana Lima, 2009. "Analysis of an European union election using principal component analysis," Statistical Papers, Springer, vol. 50(4), pages 895-904, August.
    • Handle: RePEc:spr:stpapr:v:50:y:2009:i:4:p:895-904
    DOI: 10.1007/s00362-009-0264-2
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    References listed on IDEAS

    as
    1. Katz, Jonathan N. & King, Gary, 1999. "A Statistical Model for Multiparty Electoral Data," American Political Science Review, Cambridge University Press, vol. 93(1), pages 15-32, March.
    2. Adam Butler & Chris Glasbey, 2008. "A latent Gaussian model for compositional data with zeros," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 57(5), pages 505-520, December.
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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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