Improvement on Estimating Quantiles in Finite Population Using Indirect Methods of Estimation Rueda García, María Del Mar Arcos Cebrián, Antonio Artés Rodríguez, Eva María Auxiliary information Finite population quantiles Ratio New methods for estimating confidence limits for quantiles in a finite population are proposed. These methods use auxiliary information through the ratio, difference and regression estimator of the population distribution function. They may be applied to any type of sampling. Simulation studies based of two real populations show that the methods proposed in this paper can be considerably more efficient than the customary classic method. 2024-02-04T16:01:19Z 2024-02-04T16:01:19Z 1997 journal article https://hdl.handle.net/10481/88123 10.1007/BFb0052865 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional