关于统计数据的几点认识

发布时间：2019-06-14 05:45

【摘要】：本文对大家最为熟悉的概念"统计数据"进行了专门的讨论。论文首先基于对数据的理解,讨论了统计数据的内涵特征及其变化过程,认为一切被记录的事实都是数据,一切可用统计方法处理的数据都是统计数据;然后以历史上著名的关于父母酗酒是否影响后代身心健康的皮尔逊论战,来说明在现实统计分析研究中我们所面临的统计数据困惑,认为统计学的构成要素就是问题、数据和方法,方法围着数据转,数据跟着问题走;接着讨论了什么是大数据思维,什么是小数据以及为什么要研究小数据等问题,认为要基于大数据研究小数据、基于小数据挖掘大数据;最后指出充分挖掘数据价值是统计学的发展方向,归纳了大数据分析的基本路径,提出大数据分析要着力克服统计测度、数据孤岛、半随机性、异常值和归纳法与演绎法相结合等一系列复杂的问题。
[Abstract]:In this paper, the most familiar concept of "statistical data" is discussed. Based on the understanding of the data, this paper discusses the connotation and change process of the statistical data, and holds that all the recorded facts are data, and all the data that can be processed by statistical methods are statistical data. Then, based on the famous Pearson debate about whether parents' drinking affects the physical and mental health of future generations, this paper explains the confusion of statistical data in the realistic statistical analysis and research, and holds that the constituent elements of statistics are problems, data and methods, and methods revolve around the data, and the data follows the problem. Then it discusses what is big data's thinking, what is small data and why to study small data, and thinks that we should study small data based on big data and big data based on small data mining. Finally, it is pointed out that fully mining data value is the development direction of statistics, the basic path of big data analysis is summarized, and big data analysis should focus on overcoming a series of complex problems, such as statistical measurement, data island, semi-randomness, abnormal value and induction method combined with deductive method.
【作者单位】：浙江财经大学党委;
【基金】：国家社科重大招标项目“基于大数据的跨境电子商务统计监测、评估与监督体系研究”(16ZDA053) 浙江财经大学省一流建设学科(统计学)的子课题成果之一
【分类号】：C81

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