María del Mar Rueda

Jorge L. Rueda-Sánchez

Math. Comput. Simul., 2025

2024

Estimating response propensities in nonprobability surveys using machine learning weighted models.

[BibT_eX]

[DOI]

Jorge L. Rueda-Sánchez

Math. Comput. Simul., 2024

Calibration estimation of distribution function based on multidimensional scaling of auxiliary information.

[BibT_eX]

[DOI]

María D. Illescas

Antonio-Francisco Roldán-López-de-Hierro

J. Comput. Appl. Math., 2024

2023

On the notion of fuzzy dispersion measure and its application to triangular fuzzy numbers.

[BibT_eX]

[DOI]

Inf. Fusion, December, 2023

Distribution function estimation with calibration on principal components.

[BibT_eX]

[DOI]

María D. Illescas

J. Comput. Appl. Math., August, 2023

2022

The optimization problem of quantile and poverty measures estimation based on calibration.

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2022

The optimization problem of quantile and poverty measures estimation based on calibration.

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2022

Combining Statistical Matching and Propensity Score Adjustment for inference from non-probability surveys.

[BibT_eX]

[DOI]

Luis Castro-Martín

J. Comput. Appl. Math., 2022

2021

Treating nonresponse in the estimation of the distribution function.

[BibT_eX]

[DOI]

Math. Comput. Simul., 2021

New estimation techniques for ordinal sensitive variables.

[BibT_eX]

[DOI]

Pier Francesco Perri

Math. Comput. Simul., 2021

Evaluating Machine Learning methods for estimation in online surveys with superpopulation modeling.

[BibT_eX]

[DOI]

Luis Castro-Martín

Math. Comput. Simul., 2021

2020

Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2020

The R package NonProbEst for estimation in non-probability surveys.

[BibT_eX]

[DOI]

Luis Castro-Martín

R J., 2020

Randomized response estimation in multiple frame surveys.

[BibT_eX]

[DOI]

Pier Francesco Perri

Int. J. Comput. Math., 2020

Calibration estimator for Head Count Index.

[BibT_eX]

[DOI]

Int. J. Comput. Math., 2020

2017

Optimal dimension and optimal auxiliary vector to construct calibration estimators of the distribution function.

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2017

Distribution function estimates from dual frame context.

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2017

rNPBST: An R Package Covering Non-parametric and Bayesian Statistical Tests.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017

2016

Calibration estimation in dual-frame surveys.

[BibT_eX]

[DOI]

Maria Giovanna Ranalli

Annalisa Teodoro

Stat. Methods Appl., 2016

2015

Frames2: A Package for Estimation in Dual Frame Surveys.

[BibT_eX]

[DOI]

David Molina

Maria Giovanna Ranalli

R J., 2015

Determining P optimum calibration points to construct calibration estimators of the distribution function.

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2015

2014

New ratio and difference estimators of the finite population distribution function.

[BibT_eX]

[DOI]

Math. Comput. Simul., 2014

A predictive estimator of finite population proportion despite missing data.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2014

2013

Estimating population proportions in the presence of missing data.

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2013

2012

Optimum ratio estimators for the population proportion.

[BibT_eX]

[DOI]

Int. J. Comput. Math., 2012

2011

Indirect estimation of proportions in natural resource surveys.

[BibT_eX]

[DOI]

Math. Comput. Simul., 2011

A quantile estimator under two-phase sampling for stratification.

[BibT_eX]

[DOI]

Int. J. Comput. Math., 2011

Post-stratified calibration method for estimating quantiles.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2011

2010

Optimum calibration points estimating distribution functions.

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2010

2009

New imputation methods for missing data using quantiles.

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2009

A predictive estimator of finite population mean using nonparametric regression.

[BibT_eX]

[DOI]

Comput. Stat., 2009

Mean estimation in the presence of change points.

[BibT_eX]

[DOI]

Appl. Math. Lett., 2009

Pseudo-empirical likelihood estimation using nonparametric regression.

[BibT_eX]

[DOI]

Appl. Math. Lett., 2009

2008

Editorial: Statistical inference with missing data.

[BibT_eX]

[DOI]

Model. Assist. Stat. Appl., 2008

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

[BibT_eX]

[DOI]

A. González

Int. J. Comput. Math., 2008

Confidence intervals for quantile estimation using Jackknife techniques.

[BibT_eX]

[DOI]

Comput. Stat., 2008

A new ratio-type imputation with random disturbance.

[BibT_eX]

[DOI]

Appl. Math. Lett., 2008

2007

Estimating quantiles under sampling on two occasions with arbitrary sample designs.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2007

Quantile estimation in two-phase sampling.

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[DOI]

Comput. Stat. Data Anal., 2007

An improved class of estimators of a finite population quantile in sample surveys.

[BibT_eX]

[DOI]

Appl. Math. Lett., 2007

2006

Bootstrap confidence intervals for finite population quantiles in the presence of auxiliary information.

[BibT_eX]

[DOI]

Model. Assist. Stat. Appl., 2006

Estimating the difference between two means with missing data in sample surveys.

[BibT_eX]

[DOI]

Model. Assist. Stat. Appl., 2006

Mean estimation with calibration techniques in presence of missing data.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2006

A general class of estimators with auxiliary information based on available units.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2006

2005

Quantile estimation under successive sampling.

[BibT_eX]

[DOI]

María del Mar Rueda García

Antonio Arcos Cebrián

S. González-Aguilera

Comput. Stat., 2005

Indirect methods of imputation of missing data based on available units.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2005

Ratio methods to the mean estimation with known quantiles.

[BibT_eX]

[DOI]

Sergio Martínez Puertas

Sergio Martínez Puertas

Appl. Math. Comput., 2005

Incorporating the auxiliary information available in variance estimation.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2005

2004

Missing data and auxiliary information in surveys.

[BibT_eX]

[DOI]

Comput. Stat., 2004

Some improved estimators of finite population quantile using auxiliary information in sample surveys.

[BibT_eX]

[DOI]