• A computational validation for nonparametric assessment of spatial trends 

      Meilán-Vila, Andrea; Fernández-Casal, Rubén; Crujeiras-Casais, Rosa M.; Francisco-Fernández, Mario (2021)
      The analysis of continuously spatially varying processes usually considers two sources of variation, namely, the large-scale variation collected by the trend of the process, and the small-scale variation. Parametric trend ...
    • A Nonparametric Bootstrap Method for Heteroscedastic Functional Data 

      Fernández-Casal, Rubén; Castillo-Páez, Sergio; Flores, Miguel (Springer, 2024-03)
      [Absctract]: The objective is to provide a nonparametric bootstrap method for functional data that consists of independent realizations of a continuous one-dimensional process. The process is assumed to be nonstationary, ...
    • Constructing a Control Chart Using Functional Data 

      Flores, Miguel; Naya, Salvador; Fernández-Casal, Rubén; Zaragoza, Sonia; Raña, Paula; Tarrío-Saavedra, Javier (MDPI AG, 2020-01-02)
      [Abstract] This study proposes a control chart based on functional data to detect anomalies and estimate the normal output of industrial processes and services such as those related to the energy efficiency domain. Companies ...
    • Nonparametric Conditional Risk Mapping Under Heteroscedasticity 

      Fernández-Casal, Rubén; Castillo-Páez, Sergio; Francisco-Fernández, Mario (Springer Nature, 2024-03)
      [Absctract]: A nonparametric procedure to estimate the conditional probability that a nonstationary geostatistical process exceeds a certain threshold value is proposed. The method consists of a bootstrap algorithm that ...
    • Nonparametric geostatistical risk mapping 

      Fernández-Casal, Rubén; Castillo-Páez, Sergio; Francisco-Fernández, Mario (2018)
      In this work, a fully nonparametric geostatistical approach to estimate threshold exceeding probabilities is proposed. To estimate the large-scale variability (spatial trend) of the process, the nonparametric local linear ...
    • Statistical Quality Control with the qcr Package 

      Flores, Miguel; Fernández-Casal, Rubén; Naya, Salvador; Tarrío-Saavedra, Javier (Technische Universitaet Wien, 2021)
      [Abstract] The R package qcr for Statistical Quality Control (SQC) is introduced and described. It includes a comprehensive set of univariate and multivariate SQC tools that completes and increases the SQC techniques ...