Using Double Logistic Regression to Improve Discriminant Efficiency
|School||North China Electric Power University (Beijing)|
|Keywords||Logistic regression Discriminant analysis Principal Component Analysis Occur than|
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 .