大数据时代统计分析的新特点  

New Features of the Statistical Analysis in Big Data Era

作　　者：王吉善[1] 陈晓红[1] 马谢民[1] 李绍刚[1] 马雯[1] 宋景晨[1] 

机构地区：[1]卫生部医院管理研究所医院管理咨询中心,北京100191

出　　处：《中国卫生质量管理》2015年第1期59-60,共2页Chinese Health Quality Management

摘　　要：简述了在大数据时代背景下全样本分析的特点,并对抽样分析数据所得出的结论提出质疑。提示人们在大数据时代,由于计算方法的进步与数据仓库的出现,应该尽量对数据进行挖掘处理,这样的分析结果相比抽样统计更可靠。统计学领域也应与时俱进不断更新传统观念,学习新生事物,适应大数据环境,扩展统计学的应用领域,创造出适合大数据的新的统计方法。The paper briefly described the characteristics of all sample analysis in the era of big data, and questioned the conclusions obtained from the data of sampling analysis. In the era of big data, due to the progress of the calculation method and the emergence of data warehouse, data in the data warehouse should be mined as far as possible, which can obtain more reliable results than that from sampling statistical analysis. Statistical areas should also keep pace with the times and constantly update the traditional concept ; learn new thing to adapt to big data environment, and expand the application areas of statistics to create new statistical methods catering to the big data.

关 键 词：大数据 统计 分析 特点 

分 类 号：R197.324[医药卫生—卫生事业管理]