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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: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:googlescopus