What is the difference between logistic regression and linear discriminant analysis?

What is the difference between logistic regression and linear discriminant analysis?

Thus, linear discriminant analysis and logistic regression can be used to assess the same research problems. Their functional form is the same but they differ in the method of the estimation of their coefficient. Discriminant analysis produces a score, similar to the production of logit of the logistic regression.

Is multinomial logistic regression linear?

Multinomial logistic regression is a simple extension of binary logistic regression that allows for more than two categories of the dependent or outcome variable. Multinomial logistic regression is often considered an attractive analysis because; it does not assume normality, linearity, or homoscedasticity.

Is LDA sensitive to outliers?

Linear discriminant analysis (LDA) is a well-known dimensionality reduction technique, which is widely used for many purposes. However, conventional LDA is sensitive to outliers because its objective function is based on the distance criterion using L2-norm.

Which is better multinomial regression or logistic regression?

Logistic, Multinomial, and Polynomial Regression Multiple linear regression is a powerful and flexible technique that can handle many types of data. However, there are many other of types of regression that are more appropriate for particular types of data or to express particular relationships among the data.

How to decide between multinomial and ordinal logistic?

Should I run “3” independent regression analyses with each of the 3 subscales ( of my construct) or run just one analysis (“X” with 3 levels) and still use a hierarchical/stepwise , theoretical regression approach with ordinal log regression? That is actually not a simple question. There isn’t one right way.

Can you do multiclass classification with logistic regression?

Multinomial regression describes the case where alternatives do not have any sort of natural ordering. I have described this model and its additional assumptions in detail with examples in this answer: Zachary Taylor’s answer to Can you do multiclass classification with logistic regression?.

What’s the difference between binary regression and multiple regression?

Binary logistic regression differs from familiar multiple regression in that the outcome variable is binary (has two groups). Binary logistic regression is similar to multiple regression in that it can use several predictor variables.