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

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....

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Bibliographic Details
Published inActa Universitatis Danubius. Œconomica Vol. 10; no. 2; pp. 109 - 128
Main Authors Malec, Lukáš, Pavlíček, Antonín, Poživil, Jaroslav
Format Journal Article
LanguageEnglish
Published Danubius University Press 2014
Editura Universitară Danubius
Subjects
Economy
arrival data
relation of nonresidents and residents
partial least squares
principal component analysis
analysis of trends
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Summary: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 eigen value 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.
ISSN:2065-0175
2067-340X