this isn't clear
It looks like the y's given the x's are bernoulli's
I have the following problem:
The following probability mass function is given:
It's convenient to write beta0 + beta1*xi = x'i (i should be subscript)*beta, where x' = (1 xi) and beta' = (beta0 beta1).
a) Find the log-likelihood function
b) Find the first order conditions for the maximum likelihood estimation.
c) Find the second derivative (the Hessian matrix) for the log-likelihood function.
Help anyone? Thanks in advance.
I still don't get the beta's.
I understand that
But how can also equal that equation with the beta's?
I think the first line is wrong.
It's just a function of the 's or a marginal or something else.