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1

INFLUENCE OF NORMALIZATION ON LINEAR ORDERING OF OBJECTS USING MULTIDIMENSIONAL DISTANCE

100%
Pawelek B.
Przegląd Statystyczny
|
2006
|
vol. 53
|
issue 2
57-67
EN
The paper presents considerations concerning the influence of normalizing the diagnostic variables with constant parameters on the linear ordering of objects using multidimensional distance. There is proved that if we know values of the diagnostic variables and the normalization parameters we can predict the linear arrangement of objects depending on the values of the model synthetic variable. The considerations show that we may get different arrangements depending on the kind of used normalization and distance measure. In other words, we may have an effect on the assessment of development level of objects by the choice of the normalization parameters and distance measure. The considerations lead to the following conclusion: each linear arrangement of objects depending on the values of the model synthetic variable is subjective. It depends on knowledge and experience of the explorer, who makes the choice of the normalization method and distance measure.
2

Porzadkowanie liniowe

100%
Baranek H.
Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie
|
2011
|
issue 873
43-51
EN
The paper proposes an application of Czekanowski’s taxonomic method and the Wrocław taxonomy method for the linear ordering of multidimensional objects. These methods are used as primary analysis where linear order actually exists, and where it does not it shouold be created by eliminating some objects from the analysis.
3

MULTIVARIATE DATA ANALYSIS OF QUALITY OF LIFE AT THE LEVEL OF POLISH SUBREGIONS IN 2009 (Wielowymiarowa analiza statystyczna poziomu zycia w podregionach w roku 2009)

100%
Bal-Domanska B., Wilk J.
Econometrics. Ekonometria. Advances in Applied Data Analytics
|
2011
|
issue 30 (Zastosowania metod ilościowych)
58-69
EN
The objective of the hereby article is an attempt to provide an answer to a question regarding life quality (standard) of inhabitants in Polish subregional communities with particular emphasis on these which cover large urban units or areas of high population density in 2009. The analysis was performed by means of synthetic measure constructed on the basis of indicators collected in four aspects: 'Access to goods and services', 'Health and access to health care', 'Social problems' and 'Education and culture'. The analysis applies linear ordering methods (standardized sums method) and Mahalanobis distance in order to evaluate properties differentiation in particular classes.
4

LINEAR ORDERING WITH GENERALISED DISTANCE MEASURE GDM2 FOR ORDINAL DATA AND PROGRAM R (Porzadkowanie liniowe z wykorzystaniem uogolnionej miary odleglosci GDM2 dla danych porzadkowych i programu R)

100%
Walesiak M.
Econometrics. Ekonometria. Advances in Applied Data Analytics
|
2011
|
issue 30 (Zastosowania metod ilościowych)
9-18
EN
The article presents linear ordering methods based on ordinal data. New proposals for transformation formula of the variable values, which have nominant character of type, into destimulant variable are discussed (such transformation formulas are well known in literature for metric data). The last part of the article contains the application of the new function pattern.GDM2 of clusterSim package for ordinal data from the real estate market.
5

COMPARISON OF INCIDENCES OF SERIOUS DISEASES WITHIN REGIONS IN THE CZECH REPUBLIC

75%
Kopecká L., Zapletal D., Pacáková V.
Ekonomický časopis (Journal of Economics)
|
2020
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vol. 68
|
issue 4
409 – 428
EN
The incidence of serious diseases in most European countries has a growing trend compared to mortality due to these illnesses. There are significant differences in the health status of the population not only between countries but also within them. The goal of the health policy of the European Union and its member states is not only to reduce the incidence of serious diseases but also mitigate regional inequalities of their incidence. The object of this article is to compare incidences of serious diseases within the regions in the Czech Republic by using hybrid approach which combines multidimensional scaling with linear ordering of the objects. Hybrid approach is suitable for visualization of objects and determination of distances from ideal object according to indicators used. The factors of regional inequalities in the incidence of serious diseases are identified and quantified based on the results of hybrid method.
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