Research on the Application and Practice of Statistical Analysis Methods in Mathematical Modeling

Mathematical modeling involves a large amount of real data, and the complex relationship between the data must be processed. Therefore, if the corresponding method is not used, the difficulty of mathematical modeling will increase. The so-called “corresponding method” generally refers to statistical analysis Such methods can provide powerful help to mathematical modeling. Therefore, in order to complete mathematical modeling, modelers should understand the application of various statistical analysis methods. This article takes three commonly used statistical analysis methods in mathematical modeling as examples to discuss the basic principles and application practices of the three methods. The three statistical analysis methods are principal component analysis, factor analysis, and independent component analysis.