ISMAEL RAMÓN
SÁNCHEZ BORREGO
PROFESOR TITULAR DE UNIVERSIDAD
MARÍA DEL MAR
RUEDA GARCÍA
CATEDRÁTICA DE UNIVERSIDAD
Publications by the researcher in collaboration with MARÍA DEL MAR RUEDA GARCÍA (16)
2020
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Estimation of non-linear parameters with data collected using respondent-driven sampling
Mathematics, Vol. 8, Núm. 8
2019
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Kernel-based methods for combining information of several frame surveys
Metrika, Vol. 82, Núm. 1, pp. 71-86
2016
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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
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Kernel methods in dual frame surveys
AIP Conference Proceedings
2014
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Nonparametric estimation with mixed data types in survey sampling
Revista matemática complutense, Vol. 27, Núm. 2, pp. 685-700
2013
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Using nonparametric methods in social surveys: An empirical study
Quality and Quantity, Vol. 47, Núm. 3, pp. 1781-1792
2012
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An approximation method to derive confidence intervals for quantiles with some applications
Quality and Quantity, Vol. 46, Núm. 4, pp. 1197-1208
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Nonparametric methods in sample surveys. Application to the estimation of cancer prevalence
Quality and Quantity, Vol. 46, Núm. 2, pp. 405-414
2011
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A quantile estimator under two-phase sampling for stratification
International Journal of Computer Mathematics, Vol. 88, Núm. 8, pp. 1565-1572
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Imputation and inference with multivariate adaptive regression splines
Understanding Complex Systems, Vol. 2011, pp. 341-353
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Post-stratified calibration method for estimating quantiles
Computational Statistics and Data Analysis, Vol. 55, Núm. 1, pp. 838-851
2010
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Random non-response in multi-character surveys
Quality and Quantity, Vol. 44, Núm. 2, pp. 345-356
2009
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A predictive estimator of finite population mean using nonparametric regression
Computational Statistics, Vol. 24, Núm. 1, pp. 1-14
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Mean estimation in the presence of change points
Applied Mathematics Letters, Vol. 22, Núm. 8, pp. 1257-1261
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Model-calibration estimation of the distribution function using nonparametric regression
Metrika, Vol. 71, Núm. 1, pp. 33-44
2008
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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