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22 p, 582.0 KB |
40 years after Aitchison's article "The statistical analysis of compositional data" : Where we are and where we are heading
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Coenders, Germà (Universitat de Girona. Departament d'Economia) ;
Egozcue, Juan José (Universidad Politecnica de Catalunya. Departament d'Enginyeria Civil i Ambiental) ;
Fačevicová, Kamila (Palacky University Olomouc. Department of Mathematical Analysis and Applications of Mathematics) ;
Navarro-López, Carolina (Universitat de les Illes Balears. Departament d'Economia Aplicada) ;
Palarea-Albaladejo, Javier (Universitat de Girona. Departament d'Informàtica, Matemàtica Aplicada y Estadística) ;
Pawlowsky-Glahn, Vera (Universitat de Girona. Departament d'Informàtica, Matemàtica Aplicada y Estadística) ;
Tolosana-Delgado, Raimon (Helmholtz-Institute Freiberg for Resource Technology (Freiberg, Alemanya))
The year 2022 marked 40 years since Aitchison published the article "The statistical analysis of compositional data". It is considered to be the foundation of contemporary compositional data analysis. [...]
2023 - 10.57645/20.8080.02.6
SORT : statistics and operations research transactions, Vol. 47 Núm. 2 (2023) , p. 207-228
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18 p, 2.2 MB |
Interpretation of coal compositional data on whole-coal versus ash bases through the weighted symmetric pivot coordinates method
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Xu, Na (China University of Mining and Technology (Beijing). College of Geoscience and Survey Engineering) ;
Wang, Ru (China University of Mining and Technology (Beijing). College of Geoscience and Survey Engineering) ;
Engle, Mark A. (University of Texas at El Paso. Department of Earth, Environmental and Resource Sciences) ;
Zhu, Wei (China University of Mining and Technology (Beijing). College of Geoscience and Survey Engineering) ;
Li, Qiang (China University of Mining and Technology (Beijing). College of Geoscience and Survey Engineering) ;
Wang, Zhiwei (China University of Mining and Technology (Beijing). College of Geoscience and Survey Engineering)
In addition to approaches based on a number of physical and chemical analyses, statistical methods have been commonly used for determining the modes of occurrence of elements in coal. The Pearson correlation coefficient of element concentrations vs. [...]
2023 - 10.57645/20.8080.02.12
SORT : statistics and operations research transactions, Vol. 47 Núm. 2 (2023) , p. 345-362
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26 p, 501.8 KB |
Simple enough, but not simpler : reconsidering additive logratio coordinates in compositional analysis
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Nesrstová, Viktorie (Palacký University Olomouc (República Txeca). Department of Mathematical Analysis and Applications of Mathematics) ;
Jašková, Paulína (Palacký University Olomouc (República Txeca). Department of Mathematical Analysis and Applications of Mathematics) ;
Pavlů, Ivana (Palacký University Olomouc (República Txeca). Department of Mathematical Analysis and Applications of Mathematics) ;
Hron, Karel (Palacký University Olomouc (República Txeca). Department of Mathematical Analysis and Applications of Mathematics) ;
Palarea-Albaladejo, Javier (Universitat de Girona. Departament d'Informàtica, Matemàtica Aplicada i Estadística) ;
Gába, Aleš (Palacký University Olomouc (República Txeca). Department of Natural Sciences in Kinanthropology) ;
Pelclová, Jana (Palacký University Olomouc (República Txeca). Institute of Active Lifestyle) ;
Fačevicová, Kamila (Palacký University Olomouc (República Txeca). Department of Mathematical Analysis and Applications of Mathematics)
Compositional data, multivariate observations carrying relative information, are popularly expressed in additive logratio coordinates which are easily interpretable as they use one of the components as ratioing part to produce pairwise logratios. [...]
2023 - 10.57645/20.8080.02.9
SORT : statistics and operations research transactions, Vol. 47 Núm. 2 (2023) , p. 269-294
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Data science, analytics and artificial intelligence in e-health : trends, applications and challenges
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Castaneda, Juliana (Universitat Oberta de Catalunya) ;
Calvet Liñan, Laura (Universitat Oberta de Catalunya) ;
Benito, Sergio (Universitat Oberta de Catalunya) ;
Tondar, Abtin (Universitat Oberta de Catalunya) ;
Juan, Ángel A (Universitat Politècnica de València)
More than ever, healthcare systems can use data, predictive models, and intelligent algorithms to optimize their operations and the service they provide. This paper reviews the existing literature regarding the use of data science/analytics methods and artificial intelligence algorithms in healthcare. [...]
2023 - 10.57645/20.8080.02.2
SORT : statistics and operations research transactions, Vol. 47 Núm. 1 (2023) , p. 81-128
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