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Journal Articles
- 2025
[j49]Beatriz Cobo
, Jorge L. Rueda-Sánchez, Ramón Ferri-García, María del Mar Rueda:
A new technique for handling non-probability samples based on model-assisted kernel weighting. Math. Comput. Simul. 227: 272-281 (2025)- 2024
- [j48]Sergio Martínez, María D. Illescas, María del Mar Rueda:
Calibration estimation of distribution function based on multidimensional scaling of auxiliary information. J. Comput. Appl. Math. 446: 115876 (2024) - [j47]Ramón Ferri-García, Jorge L. Rueda-Sánchez, María del Mar Rueda, Beatriz Cobo:
Estimating response propensities in nonprobability surveys using machine learning weighted models. Math. Comput. Simul. 225: 779-793 (2024) - 2023
- [j46]Antonio-Francisco Roldán-López-de-Hierro, Humberto Bustince, María del Mar Rueda, Concepción Roldán, Laura De Miguel, Carlos Guerra:
On the notion of fuzzy dispersion measure and its application to triangular fuzzy numbers. Inf. Fusion 100: 101905 (2023) - [j45]Sergio Martínez, María D. Illescas, María del Mar Rueda:
Distribution function estimation with calibration on principal components. J. Comput. Appl. Math. 428: 115189 (2023) - 2022
- [j44]Luis Castro-Martín, María del Mar Rueda, Ramón Ferri-García:
Combining Statistical Matching and Propensity Score Adjustment for inference from non-probability surveys. J. Comput. Appl. Math. 404: 113414 (2022) - [j43]Sergio Martínez, María del Mar Rueda, María del Mar Rueda:
The optimization problem of quantile and poverty measures estimation based on calibration. J. Comput. Appl. Math. 405: 113054 (2022) - [j42]Sergio Martínez, María del Mar Rueda, María del Mar Rueda:
The optimization problem of quantile and poverty measures estimation based on calibration. J. Comput. Appl. Math. 405: 113054 (2022) - 2021
- [j41]Ramón Ferri-García, Luis Castro-Martín, María del Mar Rueda:
Evaluating Machine Learning methods for estimation in online surveys with superpopulation modeling. Math. Comput. Simul. 186: 19-28 (2021) - [j40]María del Mar Rueda, Beatriz Cobo, Pier Francesco Perri:
New estimation techniques for ordinal sensitive variables. Math. Comput. Simul. 186: 62-70 (2021) - [j39]María del Mar Rueda, Sergio Martínez:
Treating nonresponse in the estimation of the distribution function. Math. Comput. Simul. 186: 136-144 (2021) - 2020
- [j38]Sergio Martínez, María del Mar Rueda, Helena Martínez, Antonio Arcos:
Calibration estimator for Head Count Index. Int. J. Comput. Math. 97(1-2): 51-62 (2020) - [j37]María del Mar Rueda, Beatriz Cobo, Pier Francesco Perri:
Randomized response estimation in multiple frame surveys. Int. J. Comput. Math. 97(1-2): 189-206 (2020) - [j36]María del Mar Rueda, Ramón Ferri-García, Luis Castro-Martín:
The R package NonProbEst for estimation in non-probability surveys. R J. 12(1): 406 (2020) - [j35]Jacinto Carrasco, Salvador García, María del Mar Rueda, Swagatam Das, Francisco Herrera:
Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review. Swarm Evol. Comput. 54: 100665 (2020) - 2017
- [j34]Antonio Arcos, Sergio Martínez, María del Mar Rueda, Helena Martínez:
Distribution function estimates from dual frame context. J. Comput. Appl. Math. 318: 242-252 (2017) - [j33]Sergio Martínez, María del Mar Rueda, Helena Martínez, Antonio Arcos:
Optimal dimension and optimal auxiliary vector to construct calibration estimators of the distribution function. J. Comput. Appl. Math. 318: 444-459 (2017) - 2016
- [j32]Maria Giovanna Ranalli, Antonio Arcos, María del Mar Rueda, Annalisa Teodoro:
Calibration estimation in dual-frame surveys. Stat. Methods Appl. 25(3): 321-349 (2016) - 2015
- [j31]Sergio Martínez, María del Mar Rueda, Helena Martínez, Antonio Arcos:
Determining P optimum calibration points to construct calibration estimators of the distribution function. J. Comput. Appl. Math. 275: 281-293 (2015) - [j30]Antonio Arcos, David Molina, Maria Giovanna Ranalli, María del Mar Rueda:
Frames2: A Package for Estimation in Dual Frame Surveys. R J. 7(1): 52 (2015) - 2014
- [j29]María del Mar Rueda, Silvia González, Antonio Arcos:
A predictive estimator of finite population proportion despite missing data. Appl. Math. Comput. 233: 1-9 (2014) - [j28]J. F. Muñoz-Rosas, Antonio Arcos, E. Álvarez-Verdejo, María del Mar Rueda:
New ratio and difference estimators of the finite population distribution function. Math. Comput. Simul. 102: 51-61 (2014) - 2013
- [j27]E. Álvarez-Verdejo, Antonio Arcos, Silvia González, Juan Francisco Muñoz, María del Mar Rueda:
Estimating population proportions in the presence of missing data. J. Comput. Appl. Math. 237(1): 470-476 (2013) - 2012
- [j26]Juan Francisco Muñoz, Encarnación Álvarez, Antonio Arcos, María del Mar Rueda, Silvia González, Agustín Santiago:
Optimum ratio estimators for the population proportion. Int. J. Comput. Math. 89(3): 357-365 (2012) - 2011
- [j25]Sergio Martínez, María del Mar Rueda, Antonio Arcos, Helena Martínez, I. Sánchez-Borrego:
Post-stratified calibration method for estimating quantiles. Comput. Stat. Data Anal. 55(1): 838-851 (2011) - [j24]María del Mar Rueda, Juan Francisco Muñoz, I. Sánchez-Borrego:
A quantile estimator under two-phase sampling for stratification. Int. J. Comput. Math. 88(8): 1565-1572 (2011) - [j23]María del Mar Rueda, Juan Francisco Muñoz, Antonio Arcos, Encarnación Álvarez:
Indirect estimation of proportions in natural resource surveys. Math. Comput. Simul. 81(10): 2317-2325 (2011) - 2010
- [j22]Sergio Martínez, María del Mar Rueda, Antonio Arcos, Helena Martínez:
Optimum calibration points estimating distribution functions. J. Comput. Appl. Math. 233(9): 2265-2277 (2010) - 2009
- [j21]María del Mar Rueda, Juan Francisco Muñoz:
Pseudo-empirical likelihood estimation using nonparametric regression. Appl. Math. Lett. 22(7): 1021-1024 (2009) - [j20]María del Mar Rueda, I. Sánchez-Borrego, Antonio Arcos:
Mean estimation in the presence of change points. Appl. Math. Lett. 22(8): 1257-1261 (2009) - [j19]María del Mar Rueda, I. Sánchez-Borrego:
A predictive estimator of finite population mean using nonparametric regression. Comput. Stat. 24(1): 1-14 (2009) - [j18]Juan Francisco Muñoz, María del Mar Rueda:
New imputation methods for missing data using quantiles. J. Comput. Appl. Math. 232(2): 305-317 (2009) - 2008
- [j17]María del Mar Rueda, Silvia González:
A new ratio-type imputation with random disturbance. Appl. Math. Lett. 21(9): 978-982 (2008) - [j16]Yolanda Román-Montoya, María del Mar Rueda, Antonio Arcos:
Confidence intervals for quantile estimation using Jackknife techniques. Comput. Stat. 23(4): 573-585 (2008) - [j15]María del Mar Rueda, I. Sánchez-Borrego, A. González:
A new method for solving the problem of the mean estimation when the underlying regression function is discontinuous. Int. J. Comput. Math. 85(7): 1073-1082 (2008) - [j14]María del Mar Rueda:
Editorial: Statistical inference with missing data. Model. Assist. Stat. Appl. 3(2): 87 (2008) - 2007
- [j13]Antonio Arcos, María del Mar Rueda, Juan Francisco Muñoz:
An improved class of estimators of a finite population quantile in sample surveys. Appl. Math. Lett. 20(3): 312-315 (2007) - [j12]María del Mar Rueda, Antonio Arcos, Juan Francisco Muñoz, Sarjinder Singh:
Quantile estimation in two-phase sampling. Comput. Stat. Data Anal. 51(5): 2559-2572 (2007) - [j11]María del Mar Rueda, Juan Francisco Muñoz, Silvia González, Antonio Arcos:
Estimating quantiles under sampling on two occasions with arbitrary sample designs. Comput. Stat. Data Anal. 51(12): 6596-6613 (2007) - 2006
- [j10]María del Mar Rueda, Silvia González, Antonio Arcos:
A general class of estimators with auxiliary information based on available units. Appl. Math. Comput. 175(1): 131-148 (2006) - [j9]María del Mar Rueda, Sergio Martínez, Helena Martínez, Antonio Arcos:
Mean estimation with calibration techniques in presence of missing data. Comput. Stat. Data Anal. 50(11): 3263-3277 (2006) - [j8]María del Mar Rueda, Silvia González, Antonio Arcos:
Estimating the difference between two means with missing data in sample surveys. Model. Assist. Stat. Appl. 1(1): 51-56 (2006) - [j7]María del Mar Rueda, María Dolores Martínez Miranda, Antonio Arcos:
Bootstrap confidence intervals for finite population quantiles in the presence of auxiliary information. Model. Assist. Stat. Appl. 1(4): 279-290 (2006) - 2005
- [j6]Antonio Arcos, María del Mar Rueda, María Dolores Martínez Miranda, Silvia González, Yolanda Román-Montoya:
Incorporating the auxiliary information available in variance estimation. Appl. Math. Comput. 160(2): 387-399 (2005) - [j5]María del Mar Rueda, Silvia González, Antonio Arcos:
Indirect methods of imputation of missing data based on available units. Appl. Math. Comput. 164(1): 249-261 (2005) - [j4]María del Mar Rueda, Antonio Arcos, Sergio Martínez Puertas, María Dolores Martínez Miranda, Yolanda Román-Montoya, Sergio Martínez Puertas:
Ratio methods to the mean estimation with known quantiles. Appl. Math. Comput. 170(2): 1031-1044 (2005) - [j3]María Dolores Martínez Miranda, María del Mar Rueda García, Antonio Arcos Cebrián, Yolanda Román-Montoya, S. González-Aguilera:
Quantile estimation under successive sampling. Comput. Stat. 20(3): 385-399 (2005) - 2004
- [j2]María del Mar Rueda, Antonio Arcos, María Dolores Martínez Miranda, Yolanda Román-Montoya:
Some improved estimators of finite population quantile using auxiliary information in sample surveys. Comput. Stat. Data Anal. 45(4): 825-848 (2004) - [j1]María del Mar Rueda, Silvia González:
Missing data and auxiliary information in surveys. Comput. Stat. 19(4): 551-567 (2004)
Conference and Workshop Papers
- 2017
- [c2]Jacinto Carrasco, Salvador García, María del Mar Rueda, Francisco Herrera:
rNPBST: An R Package Covering Non-parametric and Bayesian Statistical Tests. HAIS 2017: 281-292 - 1997
- [c1]María del Mar Rueda García, Antonio Arcos Cebrián, E. Artés Rodríguez:
Improvement on Estimating Quantiles in Finite Population Using Indirect Methods of Estimation. IDA 1997: 491-499
Informal and Other Publications
- 2020
- [i1]Jacinto Carrasco, Salvador García, María del Mar Rueda, Swagatam Das, Francisco Herrera:
Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review. CoRR abs/2002.09227 (2020)
Coauthor Index
aka: Antonio Arcos Cebrián
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