CORRELATION AND TAIL DEPENDENCE ANALYSIS IN PARALLEL COORDINATES
Parallel Coordinates (PC) provide an alternative visualization of data constructed by embedding the parallel axes vertically in Cartesian Coordinates (CC) system. By using PC, we may be able to observe multivariate data behavior easier and more accurately, in particular, via dependence pattern....
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id-itb.:339342019-01-31T10:30:09ZCORRELATION AND TAIL DEPENDENCE ANALYSIS IN PARALLEL COORDINATES Nurohmah, Evi Matematika Indonesia Theses Coordinates system, data visualization, Pearsons correlation. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/33934 Parallel Coordinates (PC) provide an alternative visualization of data constructed by embedding the parallel axes vertically in Cartesian Coordinates (CC) system. By using PC, we may be able to observe multivariate data behavior easier and more accurately, in particular, via dependence pattern. In this thesis, we emphasize on visualization of correlation and multivariate tail dependence in PC. Specically, we analyze and identify their behavior through data. Furthermore, we propose a method of determining appropriate tail dependence coecient by preserving Pearsons correlation coecient in upper tail of the data. text |
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Institut Teknologi Bandung |
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Institut Teknologi Bandung Library |
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Asia |
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Indonesia Indonesia |
| content_provider |
Institut Teknologi Bandung |
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Indonesia |
| topic |
Matematika |
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Matematika Nurohmah, Evi CORRELATION AND TAIL DEPENDENCE ANALYSIS IN PARALLEL COORDINATES |
| description |
Parallel Coordinates (PC) provide an alternative visualization of data constructed
by embedding the parallel axes vertically in Cartesian Coordinates (CC) system.
By using PC, we may be able to observe multivariate data behavior easier and more
accurately, in particular, via dependence pattern.
In this thesis, we emphasize on visualization of correlation and multivariate
tail dependence in PC. Specically, we analyze and identify their behavior through
data. Furthermore, we propose a method of determining appropriate tail dependence
coecient by preserving Pearsons correlation coecient in upper tail of the data. |
| format |
Theses |
| author |
Nurohmah, Evi |
| author_facet |
Nurohmah, Evi |
| author_sort |
Nurohmah, Evi |
| title |
CORRELATION AND TAIL DEPENDENCE ANALYSIS IN PARALLEL COORDINATES |
| title_short |
CORRELATION AND TAIL DEPENDENCE ANALYSIS IN PARALLEL COORDINATES |
| title_full |
CORRELATION AND TAIL DEPENDENCE ANALYSIS IN PARALLEL COORDINATES |
| title_fullStr |
CORRELATION AND TAIL DEPENDENCE ANALYSIS IN PARALLEL COORDINATES |
| title_full_unstemmed |
CORRELATION AND TAIL DEPENDENCE ANALYSIS IN PARALLEL COORDINATES |
| title_sort |
correlation and tail dependence analysis in parallel coordinates |
| url |
https://digilib.itb.ac.id/gdl/view/33934 |
| _version_ |
1822924125769826304 |