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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.
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2024-05-18
11:59
64 p, 15.3 MB A diffusion-based spatio-temporal extension of Gaussian Matérn fields : (invited article with discussion) / Lindgren, Finn (University of Edinburgh (Escòcia)) ; Bakka, Haakon (Kontali (Noruega)) ; Bolin, David (King Abdullah University of Science and Technology (Aràbia Saudí)) ; Krainski, Elias (King Abdullah University of Science and Technology (Aràbia Saudí)) ; et al Mostra tots els 5 autors
Gaussian random fields with Matérn covariance functions are popular models in spatial statistics and machine learning. In this work, we develop a spatio-temporal extension of the Gaussian Matérn fields formulated as solutions to a stochastic partial differential equation. [...]
2024 - 10.57645/20.8080.02.13
SORT : statistics and operations research transactions, Vol. 48 Núm. 1 (2024) , p. 3-66 (Invited article)  
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2024-05-18
11:59
26 p, 519.8 KB Estimation of logistic regression parameters for complex survey data : simulation study based on real survey data / Iparragirre, Amaia (Universidad del País Vasco) ; Barrio Beraza, Irantzu (Universidad del País Vasco) ; Aramendi, Jorge (Instituto Vasco de Estadística) ; Arostegui, Inmaculada (Universidad del País Vasco)
In complex survey data, each sampled observation has assigned a sampling weight, indicating the number of units that it represents in the population. Whether sampling weights should or not be considered in the estimation process of model parameters is a question that still continues to generate much discussion among researchers in different fields. [...]
2024 - 10.57645/20.8080.02.14
SORT : statistics and operations research transactions, Vol. 48 Núm. 1 (2024) , p. 67-92  
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2024-05-18
11:59
28 p, 4.0 MB Small area estimation of the proportion of single-person households : Application to the Spanish Household Budget Survey / Bugallo, María (Universidad Miguel Hernández de Elche) ; Morales, Domingo (Universidad Miguel Hernández de Elche) ; Esteban, María Dolores (Universidad Miguel Hernández de Elche)
Household composition reveals vital aspects of the socioeconomic situation and major changes in developed countries for decision-making and mapping the distribution of single-person households is highly relevant and useful. [...]
2024 - 10.57645/20.8080.02.16
SORT : statistics and operations research transactions, Vol. 48 Núm. 1 (2024) , p. 125-152  
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2024-05-18
11:59
32 p, 696.7 KB Kernel Weighting for blending probability and non-probability survey samples / Rueda, María del Mar (Universidad de Granada) ; Cobo, Beatriz (Universidad de Granada) ; Rueda-Sánchez, Jorge Luis (Universidad de Granada) ; Ferri-García, Ramon (Universidad de Granada) ; et al Mostra tots els 5 autors
In this paper we review some methods proposed in the literature for combining a nonprobability and a probability sample with the purpose of obtaining an estimator with a smaller bias and standard error than the estimators that can be obtained using only the probability sample. [...]
2024 - 10.57645/20.8080.02.15
SORT : statistics and operations research transactions, Vol. 48 Núm. 1 (2024) , p. 93-124  
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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  
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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  
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2023-11-28
05:17
16 p, 406.0 KB Subcompositional coherence and and a novel proportionality index of parts / Egozcue, Juan José (Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental) ; Pawlowsky-Glahn, Vera (Universitat de Girona. Departament d'Informàtica, Matemàtica Aplicada i 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  
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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 (Universitat Politècnica 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) ; et al Mostra tots els 7 autors
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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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 i Estadística) ; Martín-Fernández, Josep-Antoni (Universitat de Girona. Departament d'Informàtica, Matemàtica Aplicada i Estadística) ; Mateu-Figueras, Glòria (Universitat de Girona. Departament d'Informàtica, Matemàtica Aplicada i 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  
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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) ; et al Mostra tots els 6 autors
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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