Equilibrated strategy for population variance estimation
type: Item
instance of: scholarly article
title: Equilibrated strategy for population variance estimation
zbMATH Open document ID: 0768.62010
DOI: 10.1007/BF02562664
author: Mariano Ruiz Espejo
author: M. Mercedes Ruiz Espejo
published in: Test
publication date: 1993-05-16T00:00:00Z
review text: The authors introduce an equilibrated stratification technique for populations represented by a density function. An unbiased estimator for the population variance is suggested and it is shown that, with optimum allocation, the precision of the estimator for sufficiently large sample size is always at least that of the classical minimum variance unbiased estimator for a distribution-free setting.
Mathematics Subject Classification ID: 62D05
Mathematics Subject Classification ID: 62F10
zbMATH DE Number: 168791
zbMATH Keywords: minimum variance sampling strategy
zbMATH Keywords: equilibrated stratification technique
zbMATH Keywords: unbiased estimator
zbMATH Keywords: population variance
zbMATH Keywords: optimum allocation
zbMATH Keywords: precision
zbMATH Keywords: minimum variance unbiased estimator
zbMATH Keywords: distribution-free
reviewed by: Joseph Melamed
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 168791