An improved class of estimators in RR surveys Rueda García, María Del Mar Cobo Rodríguez, Beatriz Arcos Cebrián, Antonio Auxiliary information randomized response technique Sampling theory Sample surveys This work proposes a general class of estimators for the population total of a sensitive variable using auxiliary information. Under a general randomized response model, the optimal estimator in this class is derived. Design‐based properties of proposed estimators are obtained. A simulation study reflects the potential gains from the use of the proposed estimators instead of the customary estimators. 2021-05-14T07:13:05Z 2021-05-14T07:13:05Z 2016-12-07 info:eu-repo/semantics/article Rueda, M. D. M., Cobo, B., and Arcos, A. (2018) An improved class of estimators in RR surveys. Math. Meth. Appl. Sci., 41: 2307– 2318. doi: 10.1002/mma.4256. http://hdl.handle.net/10481/68509 https://doi.org/10.1002/mma.4256 eng MTM2015-63609-R SEJ2954 http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess Atribución-NoComercial-SinDerivadas 3.0 España