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how to obtain the parameter estimates using maximum likelihood estimation?

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Yasir Ali
Yasir Ali on 23 May 2017
Commented: Yasir Ali on 25 May 2017
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

Accepted Answer

Joseph on 23 May 2017
Generalized linear models use maximum likelihood estimation. If you have the statistics toolbox, look at Otherwise, let me know and I can give more in depth guidance.
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Yasir Ali
Yasir Ali on 25 May 2017
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.

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