A robust PARAFAC model for compositional data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F18%3A73589104" target="_blank" >RIV/61989592:15310/18:73589104 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1080/02664763.2017.1381669" target="_blank" >http://dx.doi.org/10.1080/02664763.2017.1381669</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/02664763.2017.1381669" target="_blank" >10.1080/02664763.2017.1381669</a>
Alternative languages
Result language
angličtina
Original language name
A robust PARAFAC model for compositional data
Original language description
Compositional data are characterized by values containing relative information, and thus the ratios between the data values are of interest for the analysis. Due to specific features of compositional data, standard statistical methods should be applied to compositions expressed in a proper coordinate system with respect to an orthonormal basis. It is discussed how three-way compositional data can be analyzed with the Parafac model. When data are contaminated by outliers, robust estimates for the Parafac model parameters should be employed. It is demonstrated how robust estimation can be done in the context of compositional data andhowthe results can be interpreted. A real data example from macroeconomics underlines the usefulness of this approach.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
<a href="/en/project/EE2.3.20.0170" target="_blank" >EE2.3.20.0170: Building of Research Team in the Field of Environmental Modeling and the Use of Geoinformation Systems with the Consequence in Participation in International Networks and Programs</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
JOURNAL OF APPLIED STATISTICS
ISSN
0266-4763
e-ISSN
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Volume of the periodical
45
Issue of the periodical within the volume
8
Country of publishing house
GB - UNITED KINGDOM
Number of pages
23
Pages from-to
1347-1369
UT code for WoS article
000435117900001
EID of the result in the Scopus database
2-s2.0-85030564650