Improvement on Estimating Quantiles in Finite Population Using Indirect Methods of Estimation
Metadata
Show full item recordMateria
Auxiliary information Finite population quantiles Ratio
Date
1997Abstract
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.