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Estimation of a Ratio in the Finite Population

Estimation of a ratio in the finite population
Authors: Danute Krapavickaite; Aleksandras Plikusas;

Estimation of a Ratio in the Finite Population

Abstract

Summary: Estimation of the ratio of two totals is considered, when a probability sample from the finite population is available. Four estimators of the ratio are examined. The first one -- called ``simple'' -- is the ratio of the Horvitz-Thompson estimators of totals; the second -- the ratio of two ratio estimators of totals; the third one -- the ratio of two regression estimators of totals. The fourth one is a calibrated estimator of the ratio. The variances of these estimators are compared. The properties of such estimators of the ratio are studied. Simulation results are presented.

Keywords

Sampling theory, sample surveys, ratio of two totals, calibrated estimator

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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!
2
Average
Average
Average
gold