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A Nonparametric Bootstrap Method for Heteroscedastic Functional Data
ReviewAbstract: The objective is to provide a nonparametric bootstrap method for functional data that consists of inPalabras claves:functional data analysis, Local linear estimation, Resampling methods, VariogramAutores:Fernández-Casal R., Miguel Flores, Sergio Castillo-PáezFuentes:scopusNonparametric Conditional Risk Mapping Under Heteroscedasticity
ArticleAbstract: A nonparametric procedure to estimate the conditional probability that a nonstationary geostatisticaPalabras claves:bias correction, Bootstrap, Conditional simulation, Local linear estimationAutores:Fernández-Casal R., Francisco-Fernández M., Sergio Castillo-PáezFuentes:scopusNonparametric Geostatistical Prediction of Daily PM2.5 Concentrations Based on Satellite Measurements of Aerosol Optical Depth
Conference ObjectAbstract: The prediction of particulate matter (PM<inf>2.5</inf> ) has been a widely studied topic, and most oPalabras claves:Aerosol optical depth, KRIGING, Local linear estimation, PM 2.5, PM2.5Autores:Paul Medina Vazquez, Sergio Castillo-Páez, Vicente García-ManceroFuentes:scopusNonparametric 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:googlescopus