Big data represents the informational manifestation of phenomena and activities of objective things,and the statistical measurement of big data serves as the foundational research for its applications.Starting with the analysis of the conceptual connotation,theoretical logic and application models of statistical measurement,it was illustrated that statistical measurement was a subjective quantitative reflection of objective existence,with the consistency between the two being the sole criterion for evaluating the scientific nature of statistical measurement.In essence,statistical measurement was the quantified expression of subjective cognition concerning the content,characteristics and relations of objective things.Based on this,the paper established the theoretical logical relationship of statistical measurement.In the context of big data,statistical measurement was closely intertwined with the processing of big data.The theories and methods of statistical measurement guided the processing of big data,and the handling of big data necessitated the support of these theoretical and methodological frameworks.The coordination and unification of the two helped to construct the logic framework between big data processing and statistical measurement.The scientific rigor of statistical measurement was an inherent requirement for big data processing,which was particularly crucial for promoting the scientific application of big data.
关键词
大数据/统计测度/理论逻辑/应用模式
Key words
big data/statistical measurement/theoretical logic/application model
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