Open AccessAnalysis and Research on the Application of Sampling Big Data Statistical Method
Author(s) -
Yan Liu
Publication year - 2021
Publication title -
bcp business and management
Language(s) - English
Resource type - Journals
ISSN - 2692-6156
DOI - 10.54691/bcpbm.v13i.86
Subject(s) - sampling (signal processing) , computer science , probabilistic logic , sample (material) , statistical inference , big data , data mining , systematic sampling , sampling design , statistical model , simple random sample , statistical theory , statistics , artificial intelligence , mathematics , population , chemistry , demography , filter (signal processing) , chromatography , sociology , computer vision
Under the current statistical environment and technical conditions, there is a certain lag in the publication of statistical data. This means that there is a time lag in the completion of reports, which may delay the judgment of the current economic situation. Network real-time analysis based on big data analysis has gradually become the main force of data analysis. This paper puts forward the basic idea of understanding the statistical inference problem of non-probabilistic sampling. Sampling methods can consider sample selection based on sample matching, link tracking sampling method, etc., so that the obtained non-probabilistic samples are like probabilistic samples, so the statistical inference theory of probabilistic samples can be adopted. Random sampling technology and non-random sampling technology still have many applicable scenes, which are not only the scenes of traditional sampling survey in the past, but also applied to more modern information scenes with the times.