• Bootstrap Selector for the Smoothing Parameter of Beran’s Estimator 

      Peláez, Rebeca; Cao, Ricardo; Vilar, Juan M. (MDPI, 2021)
      [Abstract] This work proposes a resampling technique to approximate the smoothing parameter of Beran’s estimator. It is based on resampling by the smoothed bootstrap and minimising the bootstrap approximation of the mean ...
    • Nonparametric Inference in Mixture Cure Models 

      López-Cheda, Ana; Cao, Ricardo; Jácome, M. A.; Keilegom, Ingrid Van (MDPI, 2018-09)
      [Abstract]: A completely nonparametric method for the estimation of mixture cure models is proposed. Nonparametric estimators for the cure probability (incidence) and for the survival function of the uncured population ...
    • 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 ...