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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: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: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 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