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Comparison of the beef prices in selected countries of the European Union

100%
Jaworski S.
Metody Ilościowe w Badaniach Ekonomicznych
|
2012
|
vol. 13
|
issue 2
31-39
EN
Functional data analysis is used to examine beef price differences in selected countries of the European Union from 2006 to 2011. The prices are modeled as functional observations. The analysis is conducted in three steps relating to three kinds of functional data analysis. First the observations are smoothed with roughness penalty. Then functional principal analysis is applied. Finally functional analysis of variance is used to reveal significant difference between two given groups of countries.
2
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Unemployment rate for various countries since 2005 to 2012: comparison of its level and pace using functional principal component analysis

100%
Jaworski S., Furmańczyk K.
Metody Ilościowe w Badaniach Ekonomicznych
|
2012
|
vol. 13
|
issue 2
40-47
EN
We apply the functional principal component analysis to compare the unemployment rate in euro area, Japan and USA since 2005 to 2012. For preprocessing analysis we used B-splines system with roughness penalty for smoothing the data. The analysis enables to reveal the most important type of variation in unemployment rate and its pace's in examined countries.
3
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FUNCTIONAL EXPLORATORY DATA ANALYSIS OF UNEMPLOYMENT RATE FOR VARIOUS COUNTRIES

88%
Jaworski S.
Metody Ilościowe w Badaniach Ekonomicznych
|
2013
|
vol. 14
|
issue 1
180-189
EN
Functional exploratory techniques are applied in the analysis of an unemployment rate. The rate is smoothed into differentiable function in order to facilitate the analysis. The main aim of the analysis is assigned to find out the unemployment curves which do not follow the same pattern as that of the other ones.
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