Linear discriminant analysis - wikipedia, the free, Linear discriminant analysis (lda) is a generalization of fisher's linear discriminant, a method used in statistics, pattern recognition and machine learning to find
Logistic regression and linear discriminant analyses in, 4. discussion. in general, both logistic regression and discriminant analyses converged in similar results. both methods estimated the same statistical significant
Statistical tests in spss, What statistical analysis should i use? statistical analyses using spss introduction. this page shows how to perform a number of statistical tests using spss.
Logistic regression - wikipedia, the free encyclopedia, In statistics, logistic regression, or logit regression, or logit model is a regression model where the dependent variable (dv) is categorical. this article is about
Psy6003: logistic regression and discriminant analysis, Contents of this handout: the problem of dichotomous dependent variables; discriminant analysis; logistic regression - theory; logistic regression (and discriminant
Computing the approximate and exact leaving-one-out method, A 'general maximum likelihood discriminant'. by the end of the 1960s, logdf became one of the many possible rules suggested for classification. logdf can be
Differences between statistical software ( sas, spss, and, There is a significant difference between two between logistic regression and discriminant statistical software ( sas, spss, and minitab
how to A Comparison Between Multiple Discriminant And Logistic tutorial