Dissertation > Mathematical sciences and chemical > Mathematics > Probability Theory and Mathematical Statistics > Mathematical Statistics

Using Double Logistic Regression to Improve Discriminant Efficiency

Author ZhangQingFeng
Tutor ZhuYongHua
School North China Electric Power University (Beijing)
Course Applied Mathematics
Keywords Logistic regression Discriminant analysis Principal Component Analysis Occur than
CLC O212
Type Master's thesis
Year 2007
Downloads 303
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Linear regression is to use one of the most widely used on the analysis method of the related data , and its fundamental role in the use of predictors to predict and explain the response variable , but it is often limited to the response variable is the metric variables case ; contrast , discriminant analysis can be used to solve the case of non- metric variables of the response variable , but it do not have to have good statistical characteristics of the regression analysis , but these two together a bond Logistic regression . This article from the limitations of general linear regression applied to dichotomous relations and differences by comparison Logistic regression and general linear regression , logistic regression model is discussed . Been applied to the idea of discriminant analysis method , in particular, is to propose a new method used in discriminant analysis Logistic regression and then by analyzing the characteristics of the Logistic Regression Finally, through a practical case study English learning that the effectiveness of the method .

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