Variance estimation for complex surveys using replication techniques.
Variance estimation for complex surveys using replication techniques.
复制标题
DOI：
10.1177/096228029600500305
复制
发表时间：
1996-09-01
影响因子：
2.3
通讯作者：
Rao, J N
中科院分区：
文献类型：
--
作者：
Rust, K F;Rao, J N
调查数据的分析需要应用特殊的方法来适当地处理样本设计对估计量和检验统计量性质的影响。复制技术类代表了处理此问题的一种方法。本文讨论了使用这些技术估计抽样方差，并使用这种方差估计在借鉴调查数据的推论。本文介绍了折刀法、平衡重复法（平衡半样本法）和自举法等方法，并对这些方法的性质进行了总结。几个例子，从文献中使用的复制在分析大型复杂的调查进行了概述。
The analysis of survey data requires the application of special methods to deal appropriately with the effects of the sample design on the properties of estimators and test statistics. The class of replication techniques represents one approach to handling this problem. This paper discusses the use of these techniques for estimating sampling variances, and the use of such variance estimates in drawing inferences from survey data. The techniques of the jackknife, balanced repeated replication (balanced half-samples), and the bootstrap are described, and the properties of these methods are summarized. Several examples from the literature of the use of replication in analysing large complex surveys are outlined.