Comparison of the conditional bias and Kokic and Bell methods for Poisson and stratified sampling

Deroyon Thomas; Favre-Martinoz Cyril

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Comparison of the conditional bias and Kokic and Bell methods for Poisson and stratified sampling

机译：泊松和分层抽样的条件偏差与Kokic和Bell方法的比较

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In business surveys, it is common to collect economic variables with highly skewed distribution. In this context, winsorization is frequently used to address the problem of influential values. In stratified simple random sampling, there are two methods for selecting the thresholds involved in winsorization. This article comprises two parts. The first reviews the notations and the concept of a winsorization estimator. The second part details the two methods and extends them to the case of Poisson sampling, and then compares them on simulated data sets and on the labour cost and structure of earnings survey carried out by INSEE.

机译：在商业调查中，通常会收集分布高度偏斜的经济变量。在这种情况下，经常使用winsorization解决有影响的值的问题。在分层简单随机抽样中，有两种方法选择与Winsorization相关的阈值。本文包括两个部分。第一部分回顾了winsorization估计器的概念和概念。第二部分详细介绍了这两种方法，并将它们扩展到泊松抽样的情况，然后将它们与模拟数据集以及由INSEE进行的人工成本和收入调查结构进行比较。

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来源
《Survey methodology》 |2018年第2期|309-338|共30页
作者
Deroyon Thomas; Favre-Martinoz Cyril;
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作者单位

INSEE Paris France;

INSEE St Denis Reunion France;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Robust estimation; Winsorized estimator; Influential values; Conditional bias;

机译：可靠的估计;Winsorized估算器;有影响力的价值观;条件偏见;

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Comparison of the conditional bias and Kokic and Bell methods for Poisson and stratified sampling

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