Challenges to Traditional Statistics in the Age of Big Data

被引：0

作者：

Chen Ming ^{[1
]}

Zhu Xueshuai ^{[2
]}

Jiang Qian ^{[3
]}

机构：

[1] Hubei Coll Chinese Med, Jingzhou 434020, Hubei, Peoples R China

[2] China Univ Min & Technol, Beijing 100083, Peoples R China

[3] Six Middle Sch Shashi, Jingzhou 434020, Hubei, Peoples R China

来源：

2019 INTERNATIONAL CONFERENCE ON ARTS, MANAGEMENT, EDUCATION AND INNOVATION (ICAMEI 2019) | 2019年

关键词：

Traditional statistics; Age of big data; Challenges; Statistical Research; Data analysis;

D O I：

10.23977/icamei.2019.219

中图分类号：

J [艺术];

学科分类号：

13 ; 1301 ;

摘要：

The arrival of the era of big data not only broadens the scope of statistical research and enriches the content of statistical research, but also brings great challenges to traditional statistical research. In order to adapt to the development of the era of big data, statistical research should timely adjust the working ideas of sampling survey, deeply understand data information, transform data docking and processing methods, and grasp the key points of data relationship analysis, transforming the focus of statistical work and strengthening analytical thinking, making big data and statistics organically combined, better serving statistics, and injecting vitality into the development of statistical research work.

引用

页码：1073 / 1076

页数：4

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