Font Size: a A A

Influence Factor Tree Analysis Method Of Qualitative Conditional Probability

Posted on:2021-04-30Degree:MasterType:Thesis
Country:ChinaCandidate:X Y ZhaoFull Text:PDF
GTID:2427330602473793Subject:Statistics
Abstract/Summary:PDF Full Text Request
At present,the analysis of influencing factors has a very wide range of applications in medical,pharmaceutical,environmental,financial,production,teaching and many other aspects.And there are many ways to analyze the influencing factors.In this paper,we mainly propose the analysis method of the influencing factor tree,and then use simple correlation coefficient,complex correlation coefficient,one-way analysis of variance and multivariate analysis of variance as the theoretical basis to conduct factor analysis.When ANOVA can't be used,we put forward the method of mean square between groups to get the set of factors that have the greatest influence on dependent variable.And then draw the influence factor trees.Next we analyze each level under this set of factors and draw the analysis trees.At the same time,we put forward the research method of minimum number of samples for point analysis In order to solve the problem of ultra-low number of samples.In the first chapter,we mainly introduce the research background,research purpose and significance of the paper.In the second chapter,we mainly introduce the theoretical basis and analysis methods,including simple correlation coefficient,complex correlation coefficient,one-way analysis of variance,multivariate analysis of variance,and factor trees.In the third chapter,we use the method of influencing factor tree to analyze the average degree of influenza among individuals in the college student population.The fourth chapter includes summary and prospects.We give conclusions and suggestions based on the analysis results.And we propose the following research directions according to the shortcomings of this paper.
Keywords/Search Tags:Correlation Coefficient, Analysis Of Variance, Mean Square Between Groups, Minimum Number Of Samples, Influencing Factor Trees
PDF Full Text Request
Related items