ListarGI-MODES - Artigos por tema "Functional data analysis"

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    • 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 ...

    • Erosive Degradation Study of Concrete Augmented by Mussel Shells for Marine Construction 

      Camba, C.; Mier, José; Carral Couce, Luis; Lamas, M.I.; Álvarez-Feal, José-Carlos; Díaz-Díaz, Ana-María; Tarrío-Saavedra, Javier (MDPI, 2021-10)
      [Abstract] This work proposes a green material for artificial reefs to be placed in Galicia (northwest Spain) taking into account the principles of circular economy and sustainability of the ecosystem. New concrete ...

    • Functional extensions of Mandel's h and k statistics for outlier detection in interlaboratory studies 

      Flores, Miguel; Tarrío-Saavedra, Javier; Fernández-Casal, Rubén; Naya, Salvador (Elsevier B.V., 2018-05-15)
      [Abstract]: Functional data analysis (FDA) alternatives, based on the classical Mandel h and k statistics, are proposed to identify the laboratories that supply inconsistent results in interlaboratory studies (ILS). ILS ...

    • Predicting rainfall and irrigation requirements of corn in Ecuador 

      Flores, Miguel; Llambo, Ángel; Loza, Danilo; Naya, Salvador; Tarrío-Saavedra, Javier (Elsevier Ltd, 2023-08)
      [Abstract]: This work is a case study whose objective is prediction of irrigation needs of corn crops in different regions of Ecuador; being this a fundamental basic food for the country's economy, as in the remaining ...

    • Using robust FPCA to identify outliers in functional time series, with applications to the electricity market 

      Vilar, Juan M.; Raña, Paula; Aneiros Pérez, Germán (Institut d'Estadistica de Catalunya, 2016)
      [Abstract]: This study proposes two methods for detecting outliers in functional time series. Both methods take dependence in the data into account and are based on robust functional principal component analysis. One method ...