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dc.contributor.author刘云霞
dc.contributor.author吴曦明
dc.contributor.author曾五一
dc.date.accessioned2013-01-15T07:13:20Z
dc.date.available2013-01-15T07:13:20Z
dc.date.issued2012-11
dc.identifier.citation统计研究,2012(11):74-78zh_CN
dc.identifier.issn1002-4565
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/14546
dc.description.abstract本文介绍了如何利用Benford法则来检测统计数据质量的一般方法。在此基础上,进一步探讨了如何将其与面板模型相结合从而找出可能存在质量问题的具体地区和时间序列数据的方法。并利用上述方法对我国多个国家级开发区的主要经济指标的数据质量进行了实证分析。 This article describes a general method that can detect statistical data abnormalityby Benford’s law. In addition,the article discusses how to combine Benford’s Law with panel data models to identify the observations that may have data quality problems. We demonstrate the applicability of the proposed method method with an examination on major economic indicators of Chinese national development zones.zh_CN
dc.description.sponsorship国家社科基金重点项目“国家统计数据质量管理问题研究(09AZD045)”阶段成果之一;中央高校基本科研业务费专项资金资助(0140zk1008)zh_CN
dc.language.isozhzh_CN
dc.publisher统计研究编辑部zh_CN
dc.subject数据质量zh_CN
dc.subjectBenford法则zh_CN
dc.subject面板模型zh_CN
dc.subjectData Qualityzh_CN
dc.subjectBenford’s Lawzh_CN
dc.subjectPanel Modelzh_CN
dc.title关于综合运用Benford法则和面板模型检测统计数据质量的研究zh_CN
dc.title.alternativeDetecting Statistical Data Anormality by Combining Benford’s Law and Panel Data Modelszh_CN
dc.typeArticlezh_CN


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