Listar Modelización, Optimización e Inferencia Estadística (MODES) por autor "Boubeta, Miguel"

Mostrando ítems 1-5 de 5

    • Burned area prediction with semiparametric models 

      Lombardía, María José; Boubeta, Miguel; González Manteiga, Wenceslao; Marey Pérez, Manuel Francisco (CSIRO Publishing, 2016-04-27)
      [Abstract] Wildfires are one of the main causes of forest destruction, especially in Galicia (north-west Spain), where the area burned by forest fires in spring and summer is quite high. This work uses two semiparametric ...

    • Empirical best prediction under area-level Poisson mixed models 

      Boubeta, Miguel; Lombardía, María José; Morales, Domingo (Springer, 2015-12-19)
      [Abstract] The paper studies the applicability of area-level Poisson mixed models to estimate small area counting indicators. Among the available procedures for fitting generalized linear models, the method of moments (MM) ...

    • Poisson mixed models for predicting number of fires 

      Boubeta, Miguel; Lombardía, María José; Marey Pérez, Manuel Francisco; Morales, Domingo (CSIRO, 2019-03)
      [Abstract]: Wildfires are considered one of the main causes of forest destruction. In recent years, the number of forest fires and burned area in Mediterranean regions have increased. This problem particularly affects ...

    • Prediction of forest fires occurrences with area-level Poisson mixed models 

      Boubeta, Miguel; Lombardía, María José; Marey Pérez, Manuel Francisco; Morales, Domingo (Academic Press, 2015-05-01)
      [Abstract] The number of fires in forest areas of Galicia (north-west of Spain) during the summer period is quite high. Local authorities are interested in analyzing the factors that explain this phenomenon. Poisson ...

    • Small area prediction of proportions and counts under a spatial Poisson mixed model 

      Boubeta, Miguel; Lombardía, María José; Morales, Domingo (Springer Nature, 2023-10-31)
      [Abstract]: This paper introduces an area-level Poisson mixed model with SAR(1) spatially correlated random effects. Small area predictors of proportions and counts are derived from the new model and the corresponding mean ...