Publicaciones en las que colabora con ISMAEL RAMÓN SÁNCHEZ BORREGO (16)

2020

  1. Estimation of non-linear parameters with data collected using respondent-driven sampling

    Mathematics, Vol. 8, Núm. 8

2019

  1. Kernel-based methods for combining information of several frame surveys

    Metrika, Vol. 82, Núm. 1, pp. 71-86

2016

  1. Nonparametric Estimation to Reconstruct the Deformation History of an Active Fold in the Caspian Basin

    Mathematical Geosciences, Vol. 48, Núm. 8, pp. 985-1011

2015

  1. Kernel methods in dual frame surveys

    AIP Conference Proceedings

2014

  1. Nonparametric estimation with mixed data types in survey sampling

    Revista matemática complutense, Vol. 27, Núm. 2, pp. 685-700

2013

  1. Using nonparametric methods in social surveys: An empirical study

    Quality and Quantity, Vol. 47, Núm. 3, pp. 1781-1792

2012

  1. An approximation method to derive confidence intervals for quantiles with some applications

    Quality and Quantity, Vol. 46, Núm. 4, pp. 1197-1208

  2. Nonparametric methods in sample surveys. Application to the estimation of cancer prevalence

    Quality and Quantity, Vol. 46, Núm. 2, pp. 405-414

2011

  1. A quantile estimator under two-phase sampling for stratification

    International Journal of Computer Mathematics, Vol. 88, Núm. 8, pp. 1565-1572

  2. Imputation and inference with multivariate adaptive regression splines

    Understanding Complex Systems, Vol. 2011, pp. 341-353

  3. Post-stratified calibration method for estimating quantiles

    Computational Statistics and Data Analysis, Vol. 55, Núm. 1, pp. 838-851

2010

  1. Random non-response in multi-character surveys

    Quality and Quantity, Vol. 44, Núm. 2, pp. 345-356

2009

  1. A predictive estimator of finite population mean using nonparametric regression

    Computational Statistics, Vol. 24, Núm. 1, pp. 1-14

  2. Mean estimation in the presence of change points

    Applied Mathematics Letters, Vol. 22, Núm. 8, pp. 1257-1261

  3. Model-calibration estimation of the distribution function using nonparametric regression

    Metrika, Vol. 71, Núm. 1, pp. 33-44

2008

  1. A new method for solving the problem of the mean estimation when the underlying regression function is discontinuous

    International Journal of Computer Mathematics, Vol. 85, Núm. 7, pp. 1073-1082