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On Estimating the Number of Vital Events in Demographic Surveys

Authors: Des Raj;

On Estimating the Number of Vital Events in Demographic Surveys

Abstract

Abstract An examination is made of the effectiveness of the Chandrasekar-Deming technique for estimating the number of vital events using both the registration (continuous recording) of events and a periodic retrospective survey. It is shown that, under a general model for response errors, the technique may produce estimates that are considerably biased downwards. A comparison is made with a number of other estimators. The possibility of improving results through double sampling is explored.

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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!
3
Average
Average
Average
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