Mostrando 8 resultados de: 8
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Spatial Statistics(2)
Chemometrics and Intelligent Laboratory Systems(1)
Computational Statistics and Data Analysis(1)
DATA 2019 - Proceedings of the 8th International Conference on Data Science, Technology and Applications(1)
Mathematics(1)
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Probabilidades y matemática aplicada(5)
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A nonparametric bootstrap method for spatial data
ArticleAbstract: The aim is to provide a nonparametric bootstrap method for spatial data, which can be either stationPalabras claves:Bandwidth matrix, Kernel estimation, Resampling method, VariogramAutores:Fernández-Casal R., García-Soidán P., Sergio Castillo-PáezFuentes:googlescopusConstructing 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:googlescopusNonparametric bootstrap approach for unconditional risk mapping under heteroscedasticity
ArticleAbstract: The current work provides a nonparametric resampling procedure for approximating the (unconditional)Palabras claves:Heteroscedasticity, Local linear regression, Resampling methodAutores:Fernández-Casal R., García-Soidán P., Sergio Castillo-PáezFuentes:googlescopusNonparametric estimation of the small-scale variability of heteroscedastic spatial processes
ArticleAbstract: The current study aims to provide nonparametric estimators of the conditional variance and the depenPalabras claves:bias correction, Heteroscedasticity, Local linear estimation, VariogramAutores:Fernández-Casal R., García-Soidán P., Sergio Castillo-PáezFuentes:googlescopusNonparametric geostatistical risk mapping
ArticleAbstract: In this work, a fully nonparametric geostatistical approach to estimate threshold exceeding probabilPalabras claves:Bias-corrected variogram estimation, Bootstrap, KRIGING, Local linear regression, Nonparametric estimationAutores:Fernández-Casal R., Francisco-Fernández M., Sergio Castillo-PáezFuentes: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: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:googlescopus