Improvement of Quantization Regression：an Empirical Research Based on PRD Manufacturing
GUO Yiyang
SONG Qiaoying
HU Liting
Abstract：To study the relation between sample size and the effect on regression analysis ,and embody the application of interdisciplinarity ,with medium‐sized manufacturing enterprises of the PRD as an object of the research to obtain survey data ,modified PCA is utilized to gain the global score of variables ,which apply to regression analysis .With regression anal‐ysis coordinates ,its 3D is drawn .Subsequently ,Monte Carlo is applied to verify that the regression with a big sample is un‐reasonable to analyze directly ,and cluster analysis is used to select representative samples ,which is used for improving re‐gression analysis .Conclusion :it is better to utilize selected samples for regression analysis .Applications :analysis on aca‐demic researches ,information mining on big data and forecast on share price .
Keywords：interdisciplinaritymodified PCAregression analysis coordinateMonte Carlocluster analysis
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 1581-1587 )