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Article
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Biometrics
Article . 1975 . Peer-reviewed
Data sources: Crossref
Biometrics
Article . 1975
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A "Super-Population Viewpoint" for Finite Population Sampling

A 'super-population viewpoint' for finite population sampling
Authors: Hartley, H. O.; Sielken, R. L. jun.;

A "Super-Population Viewpoint" for Finite Population Sampling

Abstract

Frequently it is reasonable for a sample surveyor to view the finite population of interest as an independent sample of size N from an infinite super-population. This super-population viewpoint is contrasted to the classical frequentist theory of finite population sampling and the classical theory of infinite population sampling. A new technique for making inferences about finite population "parameters' is developed and shown to be applicable for any survey design. Two example applications are given: the estimation of strata- and population means in stratified sampling and the use of the so-called regression estimators for the same purpose.

Keywords

Population, Statistics as Topic, Models, Theoretical, Sampling Studies, Sampling theory, sample surveys, Humans, Regression Analysis, Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
72
Top 10%
Top 1%
Average
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