Publicaciones en colaboración con investigadores/as de Universidad Carlos III de Madrid (41)

2022

  1. Estimation of poverty and inequality in small areas: review and discussion

    Test, Vol. 31, Núm. 4, pp. 1143-1166

  2. Multivariate mixture model for small area estimation of poverty indicators

    Journal of the Royal Statistical Society. Series A: Statistics in Society, Vol. 185, Núm. S2, pp. S724-S755

2021

  1. A map of the poor or a poor map?

    Mathematics, Vol. 9, Núm. 21

  2. Accounting for dependent informative sampling in model-based finite population inference

    Test, Vol. 30, Núm. 1, pp. 179-197

  3. Pull your small area estimates up by the bootstraps

    Journal of Statistical Computation and Simulation, Vol. 91, Núm. 16, pp. 3304-3357

  4. Time stable empirical best predictors under a unit-level model

    Computational Statistics and Data Analysis, Vol. 160

2020

  1. Discussion of “Small area estimation: Its evolution in five decades”, by Malay ghosh

    Statistics in Transition New Series, Vol. 21, Núm. 4, pp. 40-44

  2. Estimation of proportions in small areas: application to the labour force using the Swiss Census Structural Survey

    Journal of the Royal Statistical Society. Series A: Statistics in Society, Vol. 183, Núm. 1, pp. 281-310

  3. Small area estimation methods under cut-off sampling

    Survey Methodology, Vol. 46, Núm. 1, pp. 51-75

2018

  1. Empirical best prediction under a nested error model with log transformation

    Annals of Statistics, Vol. 46, Núm. 5, pp. 1961-1993

  2. Small area estimation of general parameters under complex sampling designs

    Computational Statistics and Data Analysis, Vol. 121, pp. 20-40

2017

  1. Fast and robust estimators of variance components in the nested error model

    Statistics and Computing, Vol. 27, Núm. 6, pp. 1655-1675

  2. Poverty mapping in small areas under a twofold nested error regression model

    Journal of the Royal Statistical Society. Series A: Statistics in Society, Vol. 180, Núm. 4, pp. 1111-1136

2016

  1. A comparison of small area estimation methods for poverty mapping

    Statistics in Transition New Series, Vol. 17, Núm. 1

  2. Empirical bayes and hierarchical bayes estimation of poverty measures for small areas

    Analysis of Poverty Data by Small Area Estimation (wiley), pp. 315-324

  3. Remote sensing estimates and measures of uncertainty for forest variables at different aggregation levels

    Environmetrics, Vol. 27, Núm. 4, pp. 225-238