References
- A. Arcos, S. Martínez, M. Rueda, and H. Martínez, Distribution function estimates from dual frame context, J. Comput. Appl. Math. 318 (2017), pp. 242–252. doi: 10.1016/j.cam.2016.09.027
- E. Crettaz and C. Suter, The impact of adaptive preferences on subjective indicators: An analysis of poverty indicators, Soc. Indic. Res. 114 (2013), pp. 139–152. doi: 10.1007/s11205-013-0388-6
- J.C. Deville and C.E. Särndal, Calibration estimators in survey sampling, J. Amer. Statist. Assoc. 87 (1992), pp. 376–382. doi: 10.1080/01621459.1992.10475217
- P. Duchesne, Estimation of a proportion with survey data, J. Stat. Educ. 11(3) (2003). Available at http://www.amstat.org/publications/jse/v11n3/duchesne.pdf. doi: 10.1080/10691898.2003.11910725
- T. Harms and P. Duchesne, On calibration estimation for quantiles, Surv. Methodol. 32 (2006), pp. 37–52.
- R. Lehtonen and A. Veijanen, Logistic generalized regression estimators, Surv. Methodol. 24 (1998), pp. 51–55.
- S. Martínez, A. Arcos, H. Martínez, and S. Singh, Estimating population proportions by means of calibration estimators, Rev. Colomb. Estad. 38(1) (2015), pp. 267–293. doi: 10.15446/rce.v38n1.48814
- S. Martínez, M. Rueda, A. Arcos, and H. Martínez, Estimating the proportion of a categorical variable with probit regression, Sociol. Methods Res. In Press.
- S. Martínez, M. Rueda, A. Arcos, and H. Martínez, Optimum calibration points estimating distribution functions, J. Comput. Appl. Math. 233(9) (2010), pp. 2265–2277. doi: 10.1016/j.cam.2009.10.011
- S. Martínez, M. Rueda, H. Martínez, and A. Arcos, Determining P optimum calibration points to construct calibration estimators of the distribution function, J. Comput. Appl. Math. 275 (2015), pp. 281–293. doi: 10.1016/j.cam.2014.07.020
- S. Martínez, M. Rueda, H. Martínez, and A. Arcos, Optimal dimension and optimal auxiliary vector to construct calibration estimators of the distribution function, J. Comput. Appl. Math. 318 (2017), pp. 444–459. doi: 10.1016/j.cam.2016.02.002
- M. Medeiros, The rich, the poor: The construction of an affluence line from the poverty line, Soc. Indic. Res. 78 (2006), pp. 1–18. doi: 10.1007/s11205-005-7156-1
- D. Morales, M. Rueda, and D. Esteban, Model-assisted estimation of small area poverty measures: An application within the Valencia Region in Spain, Soc. Indic. Res., pp. 1–28 doi:10.1007/s11205-017-1678-1.
- J.F. Múñoz, E. Álvarez-Verdejo, R.M. García-Fernández, and L.J. Barroso, Efficient estimation of the Headcount Index, Soc. Indic. Res. 123 (2015), pp. 713–732. doi: 10.1007/s11205-014-0757-9
- J. Navicke, O. Rastrigina, and H. Sutherland, Nowcasting indicators of poverty risk in the European Union: A microsimulation approach, Soc. Indic. Res. 119(1) (2014), pp. 101–119. doi: 10.1007/s11205-013-0491-8
- M. Rueda, S. Martínez, H. Martínez, and A. Arcos, Calibration methods for estimating quantiles, Metrika 66 (2007), pp. 355–371. doi: 10.1007/s00184-006-0116-1
- M. Rueda, S. Martínez, H. Martínez, and A. Arcos, Estimation of the distribution function with calibration methods, J. Statist. Plann. Inference. 137 (2007), pp. 435–448. doi: 10.1016/j.jspi.2005.12.011
- M. Rueda, J.F. Muñoz, A. Arcos, E. Álvarez, and S. Martínez, Estimators and confidence intervals for the proportion using binary auxiliary information with applications to pharmaceutical studies, J. Biopharm. Stat. 21(3) (2011), pp. 526–554. doi: 10.1080/10543406.2010.485259