Multidimensional economic indicators and multivariate functional principal component analysis (MFPCA) in a comparative study of countries’ competitiveness
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DOI: 10.1007/s10109-021-00352-8
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- Mirosław Krzyśko & Waldemar Wołyński & Tomasz Górecki & Łukasz Waszak, 2014. "Methods of Reducing Dimension for Functional Data," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 15(2), pages 231-242, March.
- Tomasz Górecki & Mirosław Krzyśko & Łukasz Waszak & Waldemar Wołyński, 2018. "Selected statistical methods of data analysis for multivariate functional data," Statistical Papers, Springer, vol. 59(1), pages 153-182, March.
- Jacques, Julien & Preda, Cristian, 2014. "Model-based clustering for multivariate functional data," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 92-106.
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More about this item
Keywords
Multivariate functional data; Functional data analysis; Principal component analysis; International competitiveness differences;All these keywords.
JEL classification:
- C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
- C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
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