SORT : Statistics and Operations Research Transactions
SORT (ISSN 1696-2281 / ISSN electrònic 2013-8830) és una publicació semestral d'àmbit internacional coeditada per l'Idescat i quatre universitats catalanes (Universitat Politècnica de Catalunya, Universitat de Barcelona, Universitat Autònoma de Barcelona i Universitat de Girona) i amb la col•laboració de la Regió Espanyola de la Societat Internacional de Biometria. Publicada íntegrament en anglès (amb resums en català), promou la publicació d'articles originals d'estadística aplicada i metodologia estadística, investigació operativa, estadística oficial i biometria, així com la recensió de llibres i altres publicacions en aquests àmbits. SORT es publica des del 2003 i representa la tercera sèrie de Qüestiió (Quaderns d'Estadística i Investigació Operativa), publicada per l'Idescat des del 1992.
Estadístiques d'ús Els més consultats
Darreres entrades:
2023-11-28
05:17
28 p, 4.8 MB Classification of probability density functions in the framework of Bayes spaces : methods and applications / Pavlů, Ivana (Palacky University Olomouc. Department of Mathematical Analysis and Application of Mathematics) ; Menafoglio, Alessandra (Politecnico di Milano. Department of Mathematics) ; Bongiorno, Enea (Universita degli Studi del Piemonte Orientale. Dipartimento di Studi per l'Economia e l'Impresa) ; Hron, Karel (Palacky University Olomouc. Department of Mathematical Analysis and Application of Mathematics)
The process of supervised classification when the data set consists of probability density functions is studied. Due to the relative information contained in densities, it is necessary to convert the functional data analysis methods into an appropriate framework, here represented by the Bayes spaces. [...]
2023 - 10.57645/20.8080.02.10
SORT : statistics and operations research transactions, Vol. 47 Núm. 2 (2023) , p. 295-322  
2023-11-28
05:17
24 p, 1.1 MB Compositional covariance shrinkage and regularised partial correlations / Jin, Suzanne (Centre de Regulació Genòmica) ; Notredame, Cedric (Centre de Regulació Genòmica) ; Erb, Ionas (Centre de Regulació Genòmica)
We propose an estimation procedure for covariation in wide compositional data sets. For compositions, widely-used logratio variables are interdependent due to a common reference. Logratio uncorrelated compositions are linearly independent before the unitsum constraint is imposed. [...]
2023 - 10.57645/20.8080.02.8
SORT : statistics and operations research transactions, Vol. 47 Núm. 2 (2023) , p. 245-268  
2023-11-28
05:17
16 p, 406.0 KB Subcompositional coherence and and a novel proportionality index of parts / Egozcue, Juan José (Universidad Politecnica de Catalunya. Departament d'Enginyeria Civil i Ambiental) ; Pawlowsky-Glahn, Vera (Universitat de Girona. Departament d'Informàtica, Matemàtica Aplicada y Estadística)
Research in compositional data analysis was motivated by spurious (Pearson) correlation. Spurious results are due to semantic incoherence, but the question of ways to relate parts in a statistically consistent way remains open. [...]
2023 - 10.57645/20.8080.02.7
SORT : statistics and operations research transactions, Vol. 47 Núm. 2 (2023) , p. 229-244  
2023-11-28
05:17
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 / 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  
2023-11-28
05:17
22 p, 1.2 MB Fundamentals of convex optimization for compositional data / Saperas Riera, Jordi (Universitat de Girona. Departament d'Informàtica, Matemàtica Aplicada y Estadística) ; Martín-Fernández, Josep-Antoni (Universitat de Girona. Departament d'Informàtica, Matemàtica Aplicada y Estadística) ; Mateu-Figueras, Glòria (Universitat de Girona. Departament d'Informàtica, Matemàtica Aplicada y Estadística)
Many of the most popular statistical techniques incorporate optimisation problems in their inner workings. A convex optimisation problem is defined as the problem of minimising a convex function over a convex set. [...]
2023 - 10.57645/20.8080.02.11
SORT : statistics and operations research transactions, Vol. 47 Núm. 2 (2023) , p. 323-344  
2023-11-28
05:17
18 p, 2.2 MB Interpretation of coal compositional data on whole-coal versus ash bases through the weighted symmetric pivot coordinates method / 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  
2023-11-28
05:17
26 p, 501.8 KB Simple enough, but not simpler : reconsidering additive logratio coordinates in compositional analysis / 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 y 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  
2023-06-27
05:21
78 p, 49.9 MB Transport systems analysis : models and data / Barceló, Jaume (Universitat Politècnica de Catalunya)
Rapid advancements in new technologies, especially information and communication technologies (ICT), have significantly increased the number of sensors that capture data, namely those embedded in mobile devices. [...]
2023 - 10.57645/20.8080.02.1
SORT : statistics and operations research transactions, Vol. 47 Núm. 1 (2023) , p. 3-80  
2023-06-27
05:21
22 p, 3.5 MB Optimal threshold of data envelopment analysis in bankruptcy prediction / Staňková, Michaela (Mendel University in Brno (República Txeca)) ; Hampel, David (Mendel University in Brno (República Txeca))
Data envelopment analysis is not typically used for bankruptcy prediction. However, this paper shows that a correctly set up a model for this approach can be very useful in that context. A superefficiency model was applied to classify bankrupt and actively manufactured companies in the European Union. [...]
2023 - 10.57645/20.8080.02.3
SORT : statistics and operations research transactions, Vol. 47 Núm. 1 (2023) , p. 129-150  
2023-06-27
05:21
48 p, 1008.7 KB Data science, analytics and artificial intelligence in e-health : trends, applications and challenges / 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