hi

In the following link , you will find the answer to your question

https://www.researchgate.net/post/What_is_the_difference_between_the_general_linear_model_GLMand_generalized_linear_model_GZLM

Dear Atta muhammad asif,

Logistic regression (logit model) is a regression model where the dependent variable is binary, that is, "0" and "1" (predictors are all categorical).

On the other hand, generalized logit model follows multinomial logistic regression algorithms. When the dependent variable has more than two outcome categories then multinomial logistic regression is recommended.

Thanks.

Cheers,

Aamin

My Dear,, I hope all success to you

and you can Download my paper in my researchgate with simulation case.

with best wishes

Dear reseacher logestic regression depond on binarry method such as success and unsuccess ; 0 and 1 , for example this logit method use in edacation ( learning and dis learning) ,hopeful and disoppiontmenet,