Normalisation with respect to pattern

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dc.contributor.author Müller-Frączek, Iwona
dc.date.accessioned 2017-12-27T10:17:48Z
dc.date.available 2017-12-27T10:17:48Z
dc.date.issued 2017-12-27
dc.identifier.uri http://repozytorium.umk.pl/handle/item/4769
dc.description.abstract The article presents a new normalisation method of diagnostic variables - normalisation with respect to the pattern. The normalisation preserves some important descriptive characteristics of variables: skewness, kurtosis and the Pearson correlation coeffcients. It is particularly useful in dynamical analysis, when we work with the whole population of objects not a sample, for example in regional studies. After proposed transformation variables are comparable not only between themselves but also across time. Then we can use them, for example, to construct composite variables.
dc.language.iso eng
dc.rights info:eu-repo/semantics/openAccess
dc.subject normalisation
dc.subject standardisation
dc.subject composite variable
dc.subject synthetic measure
dc.title Normalisation with respect to pattern
dc.type info:eu-repo/semantics/preprint

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