Listar GI-MODES - Artigos por autor "Flores, Miguel"

Mostrando ítems 1-4 de 4

    • 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 ...

    • Local Correlation Integral Approach for Anomaly Detection Using Functional Data 

      Sosa, Jorge; Flores, Miguel; Naya, Salvador; Tarrío-Saavedra, Javier (MDPI, 2023-02-06)
      [Abstract]: The present work develops a methodology for the detection of outliers in functional data, taking into account both their shape and magnitude. Specifically, the multivariate method of anomaly detection called ...

    • 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 ...

    • 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 ...