方差估计后的估计

IF 1.2 4区数学 Q3 SOCIAL SCIENCES, MATHEMATICAL METHODS

Survey Methodology Pub Date : 2000-01-01 DOI:10.31274/RTD-180813-13957

Jae Kwang Kim

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引用次数: 15

摘要

代入通常用于补偿项目无反应。对方差估计进行了大量的讨论，并提出了几种方差估计器。我们提出了一种基于仅用于方差估计的伪数据集的方差估计器。将标准的完全数据方差估计量应用于伪数据集，在不替换热甲板估算和替换热甲板估算两种估算方法下，得到线性估计量的一致估计量。说明了该方法与Rao和Sitter(1995)的调整折刀法的渐近等价性。该方法可直接应用于两相抽样的方差估计。

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Variance Estimation After Imputation

Imputation is commonly used to compensate for item nonresponse. Variance estimation after imputation has generated considerable discussion and several variance estimators have been proposed. We propose a variance estimator based on a pseudo data set used only for variance estimation. Standard complete data variance estimators applied to the pseudo data set lead to consistent estimators for linear estimators under various imputation methods, including withoutreplacement hot deck imputation and withreplacement hot deck imputation. The asymptotic equivalence of the proposed method and the adjusted jackknife method of Rao and Sitter (1995) is illustrated. The proposed method is directly applicable to variance estimation for twophase sampling.

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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.