The Efficiency of Multinomial Logistic Regression Compared with Multiple Group Discriminant Analysis
多项逻辑回归相对于多组判别分析的效率
Multinomial logistic regression (also referred to as polychotomous logistic regression) is frequently used for the analysis of categorical response data with continuous or categorical explanatory variables. Parameter estimates are usually obtained through direct maximum likelihood estimation. Normal discriminant analysis has been used as an alternative approach to this methodology, although it is strictly appropriate only when the usual normal discriminant assumptions…