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Studying Covariance and Variance Components in the Czech Regions Arrival Tourism Data

Author

Listed:
  • Lukáš Malec

    (Department of Information Technologies and Analytical Methods, University of Business in Prague)

  • Antonín Pavlícek

    (Department of Information Technologies and Analytical Methods, University of Business in Prague)

  • Jaroslav Poživil

    (Department of Information Technologies and Analytical Methods, University of Business in Prague)

Abstract

Lots of tourism data vary over time for that reason the quality processing techniques are demanded to relate such a series. This study concerns the covariance, resp. variance analysis of arrivals to regions of the Czech Republic using static multivariate methods of partial least squares (PLS), resp. principal component analysis (PCA). In addition, an analysis based on eigenvalue decomposition of Euclidean similarity matrix is employed. The relation of profiles and the direction of processes using linear trends in annual data are studied between arrivals of non-residents and residents. The results are attempted to connect them with some economic parameters and global events.

Suggested Citation

  • Lukáš Malec & Antonín Pavlícek & Jaroslav Poživil, 2014. "Studying Covariance and Variance Components in the Czech Regions Arrival Tourism Data," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 2(2), pages 109-128, April.
    • Handle: RePEc:dug:actaec:y:2014:i:2:p:109-128
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    File URL: http://journals.univ-danubius.ro/index.php/oeconomica/article/view/2269/2087
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    References listed on IDEAS

    as
    1. Vinod, H. D., 1976. "Canonical ridge and econometrics of joint production," Journal of Econometrics, Elsevier, vol. 4(2), pages 147-166, May.
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