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An Empirical Study of Response and Sampling Errors for Multiplicity Estimates with Different Counting Rules

 

作者: Gad Nathan,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1976)
卷期: Volume 71, issue 356  

页码: 808-815

 

ISSN:0162-1459

 

年代: 1976

 

DOI:10.1080/01621459.1976.10480951

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

The components of the mean square error (MSE) of estimates from surveys with multiplicity, where households report on events which occurred in them and also in other households (linked to them according to well-specified counting rules), can be estimated on the basis of a specially designed evaluation survey, under certain simplifying assumptions. The empirical results from such a survey, designed to estimate births and marriages, indicate that a wide counting rule is more efficient than a conventional rule, since the slightly higher response bias and variance are more than offset by the reduction in sampling variance.

 

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