Briefly discuss how the model expressed by (7) differs from the general linear model.
$$\log(T_i) = a_0 + a_1 x_{1i} + a_2 x_{2i} + \sigma \log(\varepsilon_i) \tag 7$$
Since MLE has $n$ independent and identically distributed observations with an unknown probability density functions, this (7) does not have a form of $Y = XB + U$ they differ?
I am not sure how the model $(7)$ differs from a general linear model.
Any help will be appreciated.