how to obtain the parameter estimates using maximum likelihood estimation?

Hi everyone, I have linear model (P = Bo + B1*Acc) where P =probability of decision (0=No, 1=otherwsie), Acc= dependent variable (values ranging from -5 to +5 and data follow logistic distribution). How I can estimate the parameters Bo and B1 using maximum likelihood estimation? Please help or guide me? Thanks

Answer 1

[Joseph]

Generalized linear models use maximum likelihood estimation. If you have the statistics toolbox, look at https://www.mathworks.com/help/stats/fitglm.html#bt0dghf-2 Otherwise, let me know and I can give more in depth guidance.

[Yasir Ali]

Thanks @Joseph. I have found out. I have a minor question. I am trying to model decision (response variable, Y and Y takes value either 0 or 1) as a function of one or more independent variables (these variables follow logistic distribution). The default setting of GLM is a normal distribution and I checked that it does not have the option of logistic. Could you please guide how to model this scenario? Thanks.