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Chemometrics and Intelligent Laboratory Systems(2)
DATA 2019 - Proceedings of the 8th International Conference on Data Science, Technology and Applications(1)
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scopus(9)
Constructing a control chart using functional data
ArticleAbstract: This study proposes a control chart based on functional data to detect anomalies and estimate the noPalabras claves:control chart, Data depth, Energy efficiency, functional data analysis, Nonparametric control chart, Statistical process controlAutores:Fernández-Casal R., Miguel Flores, Naya S., Raña P., Tarrío-Saavedra J., Zaragoza S.Fuentes:googlescopusCase study of anomaly detection and quality control of energy efficiency and hygrothermal comfort in buildings
Conference ObjectAbstract: The aim of this work is to propose different statistical and machine learning methodologies for idenPalabras claves:Anomaly detection, Energy efficiency, feature selection, functional data analysis, HVAC, industry 4.0, LOCI, ReliefF, Statistical Quality ControlAutores:Bolón-Canedo V., Eiras-Franco C., Fernández-Casal R., Miguel Flores, Naya S., Tarrío-Saavedra J., Zaragoza S.Fuentes:googlescopusNew robust capability ratios approaches for quality control
ArticleAbstract: Robustness of process capability measurements is a very important matter in statistical quality contPalabras claves:Bootstrap confidence intervals, Bootstrap hypothesis testing, Process capability ratio, Robust statisticsAutores:Devia-Rivera A., Miguel Flores, Naya S., Tarrío-Saavedra J.Fuentes:googlescopusILS: An R package for statistical analysis in Interlaboratory Studies
ArticleAbstract: In this paper we present an R package with routines to perform Interlaboratory Studies (ILS). The aiPalabras claves:Bootstrap, Data depth, functional data analysis, Interlaboratory studies, outlier detection, R SoftwareAutores:Fernández-Casal R., Miguel Flores, Naya S., Roberto Bossano, Tarrío-Saavedra J.Fuentes:googlescopusIntegration of AI and IoT Approaches for Evaluating Cybersecurity Risk on Smart City
Book PartAbstract: Cities have adopted the smart city model based on decision-making to maintain their sustainability aPalabras claves:Bayesian network, DIGITAL TWIN, IOT, Risk analysis, smart cityAutores:Iván Ortiz, Luis Tello-Oquendo, Miguel Flores, Roberto Omar Andrade, Sang Guun YooFuentes:googlescopusWhat are the main variables that influence the dynamics of Ecuador’s sovereign risk?
ArticleAbstract: This paper analyzes the determinants of Ecuador’s sovereign spreads as measured by the EMBI index. WPalabras claves:Blocked SVAR, EMBI, International market, Spillover effectAutores:Díaz-Cassou J., Miguel Flores, Paul Carrillo-MaldonadoFuentes:googlescopusRobust bootstrapped Mandel's h and k statistics for outlier detection in interlaboratory studies
ArticleAbstract: This study proposes the use of the bootstrap methodology to estimate the distribution of the Mandel'Palabras claves:Bootstrap, ILS, Nonparametric statistics, outlier detectionAutores:Génesis Moreno, Miguel Flores, Naya S., Solórzano, Cristian, Tarrío-Saavedra J.Fuentes:googlescopusStatistical Quality Control with the qcr Package
ArticleAbstract: The R package qcr for Statistical Quality Control (SQC) is introduced and described. It includes a cPalabras claves:Autores:Fernández-Casal R., Miguel Flores, Naya S., Tarrío-Saavedra J.Fuentes:googlescopusStatistical functional approach for interlaboratory studies with thermal data
ArticleAbstract: A new statistical functional data analysis (FDA) approach to perform interlaboratory tests is proposPalabras claves:Data depth, Differential scanning calorimetry, functional data analysis, Interlaboratory study, Laboratory consistency, ThermogravimetryAutores:Artiaga R., Francisco-Fernández M., López-Beceiro J., Miguel Flores, Naya S., Tarrío-Saavedra J.Fuentes:googlescopus