Normalisation with respect to pattern
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.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. | pl |
dc.identifier.uri | http://repozytorium.umk.pl/handle/item/4769 | |
dc.language.iso | eng | pl |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | normalisation | pl |
dc.subject | standardisation | pl |
dc.subject | composite variable | pl |
dc.subject | synthetic measure | pl |
dc.title | Normalisation with respect to pattern | pl |
dc.type | info:eu-repo/semantics/preprint | pl |