Listar por autor "Meilán-Vila, Andrea"

Mostrando ítems 1-9 de 9

    • 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 goodness-of-fit test for regression models with spatially correlated errors 

      Meilán-Vila, Andrea; Opsomer, Jean; Francisco-Fernández, Mario; Crujeiras-Casais, Rosa M. (2020)
      The problem of assessing a parametric regression model in the presence of spatial correlation is addressed in this work. For that purpose, a goodness-of-fit test based on a -distance comparing a parametric and nonparametric ...

    • Goodness-of-fit tests for multiple regression with circular response 

      Meilán-Vila, Andrea; Francisco-Fernández, Mario; Crujeiras-Casais, Rosa M. (2022)
      [Abstract]: Testing procedures for assessing a parametric regression model with a circular response and an Rd-valued covariate are proposed and analysed in this work. The test statistics are based on a circular distance ...

    • Nonparametric estimation for a functional-circular regression model 

      Meilán-Vila, Andrea; Crujeiras-Casais, Rosa M.; Francisco-Fernández, Mario (Springer, 2024)
      [Abstract]: Changes on temperature patterns, on a local scale, are perceived by individuals as the most direct indicators of global warming and climate change. As a specific example, for an Atlantic climate location, spring ...

    • Nonparametric estimation of circular trend surfaces with application to wave directions 

      Meilán-Vila, Andrea; Crujeiras-Casais, Rosa M.; Francisco-Fernández, Mario (2021)
      In oceanography, modeling wave fields requires the use of statistical tools capable of handling the circular nature of the data measurements. An important issue in ocean wave analysis is the study of height and direction ...

    • Nonparametric Inference for Regression Models with Spatially Correlated Errors 

      Meilán-Vila, Andrea (2020)
      [Abstract] Regression estimation can be approached using nonparametric procedures, producing exible estimators and avoiding misspeci cation problems. Alternatively, parametric methods may be preferable to nonparametric ...

    • Nonparametric multiple regression estimation for circular response 

      Meilán-Vila, Andrea; Francisco-Fernández, Mario; Crujeiras-Casais, Rosa M.; Panzera, Agnese (2021)
      Nonparametric estimators of a regression function with circular response and -valued predictor are considered in this work. Local polynomial estimators are proposed and studied. Expressions for the asymptotic conditional ...

    • Nonparametric Regression Estimation for Circular Data 

      Meilán-Vila, Andrea; Francisco-Fernández, Mario; Crujeiras-Casais, Rosa M.; Panzera, Agnese (M D P I AG, 2019-07-31)
      [Abstract] Non-parametric regression with a circular response variable and a unidimensional linear regressor is a topic which was discussed in the literature. In this work, we extend the results to the case of multivariate ...

    • Testing goodness-of-fit of parametric spatial Trends 

      Meilán-Vila, Andrea; Opsomer, Jean; Francisco-Fernández, Mario; Crujeiras-Casais, Rosa M. (M D P I AG, 2018-09-17)
      [Abstract] The aim of this work is to propose and analyze the behavior of a test statistic to assess a parametric trend surface, that is, a regression model with spatially correlated errors. The asymptotic behavior under ...