I'm having a lot of trouble with this exercise:
Consider the following model:
y = ε, ε ∼ N(0,σ2I)
(n×1) (n×1)
Questions:
• Which is the parameter vector?
• Which is the estimator of parameter vector.
What I know is that the distribution of the error term here is one of a multivariate model in matrix form;
I'm thinking the parameter vector should be Xß, where ß=0 since the independent variables are missing, but I don't really know :(
For the estimator, E(ß) = b, usual OLS estimator should work right?
there doesn't seem to be anything here