Pattern normalizaion – a new tool for dynamic comparisons

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dc.contributor.author Müller-Frączek, Iwona
dc.date.accessioned 2020-04-24T07:59:35Z
dc.date.available 2020-04-24T07:59:35Z
dc.date.issued 2019
dc.identifier.citation Statistika : statistics and economy journal vol.99 no.2, 2019, pp. 182-197.
dc.identifier.issn 0322-788X
dc.identifier.uri http://repozytorium.umk.pl/handle/item/6302
dc.description Preprint artykułu, który ukazał się w czasopiśmie: Statistika : statistics and economy journal Vol. 99 no. 2.
dc.description.abstract The article presents a new method of normalization - normalization with respect to pattern (or pattern normalization in short). It has properties expected for this type of transformation: preserves skewness, kurtosis and the Pearson correlation coefficients. Although pattern normalization uses only observations from the current unit of time, it can be used in dynamic research. An additional advantage of new normalization is the ability to reflect different analysis environments. The effects of pattern normalization are illustrated by an empirical example. Indicators monitoring the implementation of the Europe 2020 Strategy are used. Normalizations are carried out for two reference groups: the entire EU and countries that joined the EU in 2004. The results for two years are compared. The example of Poland shows that the “dynamic image” of the country is affected by the use of pattern normalization itself as well as by the choice of the environment. In this context pattern normalization is similar to dynamic standardization, and different than dynamic scaling.
dc.language.iso eng
dc.publisher Czech Statistical Office
dc.subject normalization
dc.subject standardization
dc.subject transformation of variables
dc.title Pattern normalizaion – a new tool for dynamic comparisons
dc.type info:eu-repo/semantics/article
dc.type info:eu-repo/semantics/preprint

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