整合大数据和调查数据，有效估计中值

Q3 Decision Sciences

Statistical Journal of the IAOS Pub Date : 2023-06-28 DOI:10.3233/sji-230054

Ryan Covey

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引用次数: 1

摘要

全球国家统计局正在获得越来越多的大数据，但有充分的证据表明，仅凭大数据产生的统计数据往往存在选择偏见，通常不能代表广大人口。在本文中，我们通过整合大数据和调查数据，构建了一种新的基于设计的中值估计量。我们的估计量是渐近无偏的，并且比单独使用调查数据产生的中值估计量具有更小的方差。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Integrating big data and survey data for efficient estimation of the median

An ever-increasing deluge of big data is becoming available to national statistical offices globally, but it is well documented that statistics produced by big data alone often suffer from selection bias and are not usually representative of the population at large. In this paper, we construct a new design-based estimator of the median by integrating big data and survey data. Our estimator is asymptotically unbiased and has a smaller variance than a median estimator produced using survey data alone.

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来源期刊

Statistical Journal of the IAOS Economics, Econometrics and Finance-Economics and Econometrics

CiteScore

1.30

自引率

0.00%

发文量

116

期刊介绍： This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the Journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.