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Improvement on Estimating Quantiles in Finite Population Using Indirect Methods of Estimation

dc.contributor.authorRueda García, María del Mar 
dc.contributor.authorArcos Cebrián, Antonio
dc.contributor.authorArtés Rodríguez, Eva María 
dc.date.accessioned2024-02-06T11:36:04Z
dc.date.available2024-02-06T11:36:04Z
dc.date.issued1997
dc.identifier.urihttp://hdl.handle.net/10835/15858
dc.description.abstractNew 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.es_ES
dc.language.isoeses_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectauxiliary informationes_ES
dc.subjectfinite population quantileses_ES
dc.subjectratioes_ES
dc.subjectdifference and regression type estimatores_ES
dc.subjectconfidence intervalses_ES
dc.titleImprovement on Estimating Quantiles in Finite Population Using Indirect Methods of Estimationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doihttp://doi.org/10.1007/BFb0052865


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