文档介绍：Discriminant Analysis
Chapter 18
Content
Fisher discriminant analysis
Maximum likelihood method
Bayes formula discriminant analysis
Bayes discriminant analysis
Stepwise discriminant analysis
Objective:get discriminate function or probability formula (using several indicators to classify IV)
Data:IVs are classified into two or more groups; discriminate indicators are all numerical variables or categorical variables
Purpose:interpret & predict
Types: Fisher discriminant analysis & Bayes discriminant analysis
By data:
1. Analysis for numerical variable:get discriminate function using numerical indicators
Types
2. Analysis for categorical variable : get probability formula using categorical indicators
By name
Fisher discriminant analysis
Maximum likelihood method
Bayes formula discriminant analysis
Bayes discriminant analysis
Stepwise discriminant analysis
§1    Fisher Discriminant Analysis
Indicator: numerical indicator
Discriminated into: two or more categories
I
discriminate into two categories
1 principle