Acta Univ. Agric. Silvic. Mendelianae Brun. 2015, 63(5), 1671-1678 | DOI: 10.11118/actaun201563051671

Application of Multivariate Statistical Methods in the Analysis of Czech Population Life Quality with Attention to Regional Differentiation

Andrea Jindrová
Department of Statistics, Faculty of Economics and Management, Czech University of Life Science Prague, Kamýcká 129, 165 21 Praha 6-Suchdol, Czech Republic

Quality of life in the regions is affected by many mutually interlinked factors. The paper is aimed at the research of regional disparities in CR population life quality as assessed from the viewpoint of economic efficiency of the region and the social and environmental conditions. The interregional disparities research started from statistical modeling based on identification of key indicators affecting life quality in the CR districts and the outcomes reached have been exploited further for multidimensional classification of districts as to the indicators analyzed. Attention has been paid also to the ways of application of cartographic map facilitating a clear visualization of regional disparities.

Keywords: quality of life, multidimensional statistical methods, disparity, economical indicators, social and cultural indicators, environmental indicators
Grants and funding:

The author gratefully acknowledges the support from the Faculty of Economic and Management, Czech University of Life Sciences, via IGA grant, No. 11170/1312/3139.

Prepublished online: October 29, 2015; Published: December 1, 2015  Show citation

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Jindrová, A. (2015). Application of Multivariate Statistical Methods in the Analysis of Czech Population Life Quality with Attention to Regional Differentiation. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 63(5), 1671-1678. doi: 10.11118/actaun201563051671
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