[处理覆盖估算中的缺失数据，应用于1986年平差相关操作测试]。

IF 1.2 4区数学 Q3 SOCIAL SCIENCES, MATHEMATICAL METHODS Survey Methodology Pub Date : 1988-06-01

N Schenker

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引用次数: 0

摘要

“本文讨论了为估计人口普查覆盖误差而在普查后调查中处理缺失数据的方法，如1986年调整相关操作检验(1988年差异)所示。方法包括基于热甲板模型和逻辑回归模型的归算方案以及权重调整。本文还探讨了1986年试验中低估估计对估算模型变化的敏感性。这项测试是在加州洛杉矶中部进行的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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[Handling missing data in coverage estimation, with application to the 1986 Test of Adjustment Related Operations].

"This paper discusses methods used to handle missing data in post-enumeration surveys for estimating census coverage error, as illustrated for the 1986 Test of Adjustment Related Operations (Diffendal 1988). The methods include imputation schemes based on hot-deck and logistic regression models as well as weighting adjustments. The sensivity of undercount estimates from the 1986 test to variations in the imputation models is also explored." The test was carried out in Central Los Angeles County, California.

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来源期刊

Survey Methodology 数学-统计学与概率论

CiteScore

0.80

自引率

22.20%

发文量

审稿时长

>12 weeks

期刊介绍： The journal publishes articles dealing with various aspects of statistical development relevant to a statistical agency, such as design issues in the context of practical constraints, use of different data sources and collection techniques, total survey error, survey evaluation, research in survey methodology, time series analysis, seasonal adjustment, demographic studies, data integration, estimation and data analysis methods, and general survey systems development. The emphasis is placed on the development and evaluation of specific methodologies as applied to data collection or the data themselves.

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