Normalisation with respect to pattern

dc.contributor.authorMüller-Frączek, Iwona
dc.date.accessioned2017-12-27T10:17:48Z
dc.date.available2017-12-27T10:17:48Z
dc.date.issued2017-12-27
dc.description.abstractThe 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.pl
dc.identifier.urihttp://repozytorium.umk.pl/handle/item/4769
dc.language.isoengpl
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectnormalisationpl
dc.subjectstandardisationpl
dc.subjectcomposite variablepl
dc.subjectsynthetic measurepl
dc.titleNormalisation with respect to patternpl
dc.typeinfo:eu-repo/semantics/preprintpl

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