| 2009 |
|---|
| 10 | EE | María del Mar Rueda,
Juan Francisco Muñoz:
Pseudo-empirical likelihood estimation using nonparametric regression.
Appl. Math. Lett. 22(7): 1021-1024 (2009) |
| 2007 |
|---|
| 9 | EE | 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) |
| 8 | EE | María del Mar Rueda,
Juan Francisco Muñoz,
S. González,
Antonio Arcos:
Estimating quantiles under sampling on two occasions with arbitrary sample designs.
Computational Statistics & Data Analysis 51(12): 6596-6613 (2007) |
| 7 | EE | María del Mar Rueda,
Antonio Arcos,
Juan Francisco Muñoz,
Sarjinder Singh:
Quantile estimation in two-phase sampling.
Computational Statistics & Data Analysis 51(5): 2559-2572 (2007) |
| 2006 |
|---|
| 6 | EE | María del Mar Rueda,
S. González,
Antonio Arcos:
A general class of estimators with auxiliary information based on available units.
Applied Mathematics and Computation 175(1): 131-148 (2006) |
| 5 | EE | María del Mar Rueda,
S. Martínez,
H. Martínez,
Antonio Arcos:
Mean estimation with calibration techniques in presence of missing data.
Computational Statistics & Data Analysis 50(11): 3263-3277 (2006) |
| 2005 |
|---|
| 4 | EE | Antonio Arcos,
María del Mar Rueda,
M. D. Martínez-Miranda,
S. González,
Y. Román:
Incorporating the auxiliary information available in variance estimation.
Applied Mathematics and Computation 160(2): 387-399 (2005) |
| 3 | EE | María del Mar Rueda,
S. González,
Antonio Arcos:
Indirect methods of imputation of missing data based on available units.
Applied Mathematics and Computation 164(1): 249-261 (2005) |
| 2 | EE | María del Mar Rueda,
Antonio Arcos,
S. González-Aguilera,
M. D. Martínez-Miranda,
Y. Román,
S. Martínez-Puertas:
Ratio methods to the mean estimation with known quantiles.
Applied Mathematics and Computation 170(2): 1031-1044 (2005) |
| 2004 |
|---|
| 1 | EE | María del Mar Rueda,
Antonio Arcos,
M. D. Martínez-Miranda,
Y. Román:
Some improved estimators of finite population quantile using auxiliary information in sample surveys.
Computational Statistics & Data Analysis 45(4): 825-848 (2004) |
