Salvador
Naya Fernández
Catedrático de Universidad
Escuela Politécnica Nacional
Quito, EcuadorPublicaciones en colaboración con investigadores/as de Escuela Politécnica Nacional (9)
2023
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Bootstrap-LOCI data mining methodology for anomaly detection in buildings energy efficiency
Energy Reports, Vol. 10, pp. 244-254
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Local Correlation Integral Approach for Anomaly Detection Using Functional Data
Mathematics, Vol. 11, Núm. 4
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Predicting rainfall and irrigation requirements of corn in Ecuador
Heliyon, Vol. 9, Núm. 8
2021
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Robust bootstrapped Mandel's h and k statistics for outlier detection in interlaboratory studies
Chemometrics and Intelligent Laboratory Systems, Vol. 219
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Statistical Quality Control with the qcr Package
R Journal, Vol. 13, Núm. 1, pp. 194-217
2020
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Constructing a control chart using functional data
Mathematics, Vol. 8, Núm. 1
2019
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Case study of anomaly detection and quality control of energy efficiency and hygrothermal comfort in buildings
DATA 2019 - Proceedings of the 8th International Conference on Data Science, Technology and Applications
2018
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Functional extensions of Mandel's h and k statistics for outlier detection in interlaboratory studies
Chemometrics and Intelligent Laboratory Systems, Vol. 176, pp. 134-148
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ILS: An R package for statistical analysis in Interlaboratory Studies
Chemometrics and Intelligent Laboratory Systems, Vol. 181, pp. 11-20