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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 - DOI (Digital Object Identifier)

10.57645/20.8080.02.3
SORT : statistics and operations research transactions, Vol. 47 Núm. 1 (2023) , p. 129-150

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36 p, 1.2 MB

Data wrangling, computational burden, automation, robustness and accuracy in ecological inference forecasting of R×C tables / Pavía, Jose M. (Universitat de València) ; Romero, Rafael (Universitat Politècnica de València)
This paper assesses the two current major alternatives for ecological inference, based on a multinomial-Dirichlet Bayesian model and on mathematical programming. Their performance is evaluated in a database made up of almost 2000 real datasets for which the actual cross-distributions are known. [...]
2023 - DOI (Digital Object Identifier)

10.57645/20.8080.02.4
SORT : statistics and operations research transactions, Vol. 47 Núm. 1 (2023) , p. 151-186

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18 p, 1.0 MB

Inference on the symmetry point-based optimal cut-off point and associated sensitivity and specificity with application to SARS-CoV-2 antibody data / Franco-Pereira, Alba María (Complutense University of Madrid) ; Pardo Llorente, M. Carmen (Complutense University of Madrid) ; Nakas, Christos T. (University of Thessaly (Grècia). University of Bern (Suïssa)) ; Reiser, Benjamin (University of Haifa)
In the presence of a continuous response test/biomarker, it is often necessary to identify a cut-off point value to aid binary classification between diseased and non-diseased subjects. The symmetry-point approach which maximizes simultaneously both types of correct classification is one way to determine an optimal cut-off point. [...]
2023 - DOI (Digital Object Identifier)

10.57645/20.8080.02.5
SORT : statistics and operations research transactions, Vol. 47 Núm. 1 (2023) , p. 187-204

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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 - DOI (Digital Object Identifier)

10.57645/20.8080.02.1
SORT : statistics and operations research transactions, Vol. 47 Núm. 1 (2023) , p. 3-80

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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 Rey, 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 - DOI (Digital Object Identifier)

10.57645/20.8080.02.2
SORT : statistics and operations research transactions, Vol. 47 Núm. 1 (2023) , p. 81-128

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