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大数据时代抽样调查面临的挑战与机遇

     

摘要

传统的抽样调查作为一门成熟的统计学分支学科,在样本统计方面发挥着重要的作用,但是在大数据时代背景下,该方法逐渐暴露出一些缺点。在分析传统抽样调查局限性和大数据自身问题的基础上,详细分析了大数据时代下抽样调查面临的机遇和挑战。研究表明,在某些情况下,大数据统计还无法完全替代抽样调查的独特作用,抽样调查还将在很长一段时间内发挥作用。大数据时代下,为了获得更好的数据分析效果,应将大数据和抽样调查充分结合,进而发挥它们不同的优势。%As a mature sub-discipline of statistics,sampling survey has always been playing important roles in sampling statistics.Yet,under the background of big data,it has gradually revealed some drawbacks.This paper analyses the disadvantages of sampling survey and big data,and makes detailed analysis to the challenges and opportunities of sampling survey in the age of big data.Researches indicate that under certain circumstances,the special roles of sampling survey can't be fully replaced by big data, and sampling survey will be used for a long time to come.Despite that,in the age of big data,big data shall be fully combined with sampling survey to get better effects of data analysis and give full play to their different advantages.

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