Pattern normalizaion – a new tool for dynamic comparisons

dc.contributor.authorMüller-Frączek, Iwona
dc.date.accessioned2020-04-24T07:59:35Z
dc.date.available2020-04-24T07:59:35Z
dc.date.issued2019
dc.descriptionPreprint artykułu, który ukazał się w czasopiśmie: Statistika : statistics and economy journal Vol. 99 no. 2.pl
dc.description.abstractThe 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.pl
dc.identifier.citationStatistika : statistics and economy journal vol.99 no.2, 2019, pp. 182-197.pl
dc.identifier.issn0322-788X
dc.identifier.urihttp://repozytorium.umk.pl/handle/item/6302
dc.language.isoengpl
dc.publisherCzech Statistical Officepl
dc.subjectnormalizationpl
dc.subjectstandardizationpl
dc.subjecttransformation of variablespl
dc.titlePattern normalizaion – a new tool for dynamic comparisonspl
dc.typeinfo:eu-repo/semantics/articlepl
dc.typeinfo:eu-repo/semantics/preprintpl

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