Dimensionality reduction of quality of life indicators
Autor: | Julie Poláčková, Andrea Jindrová |
---|---|
Předmět: |
Engineering
principal component analysis business.industry Dimensionality reduction lcsh:S Life quality lcsh:Agriculture Environmental indicators quality of life lcsh:Biology (General) Quality of life Statistics Principal component analysis Econometrics Economical indicators Multivariate statistical General Agricultural and Biological Sciences business Social and cultural indicators lcsh:QH301-705.5 Selection (genetic algorithm) Analysis method dimensionality reduction Curse of dimensionality |
Zdroj: | Scopus-Elsevier Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Vol 60, Iss 7, Pp 147-154 (2012) |
Popis: | Selecting indicators for assessing the quality of life at the regional level is not unambigous. Currently, there are no precisely defined indicators that would give comprehensive information about the quality of life on a local level. In this paper we focus on the determination (selection) of groups of indicators that can be interpreted, on the basis of studied literature, as factors characterizing the quality of life. Furthermore, on the application of methods to reduce the dimensionality of these indicators, from the source of the database CULS KROK, which provides statistics on the regional and districts level. To reduce the number of indicators and the subsequent creation of derived variables that capture the relationships between selected indicators multivariate statistical analysis methods, especially method of principal components and factor analysis were used. This paper also indicates the methodology grant project “Methodological Approaches to assess Subjective Aspects of the life quality in regions of the Czech Republic”. |
Databáze: | OpenAIRE |
Externí odkaz: |