I was reading a book about repeated measures analysis, but I really couldn't drill enough into the concept behind the math equations. In the book, it says like this:
What I can't understand is the distribution for y. You know when we talked about normal distribution for a random variable X, we defined it X ~N ( µ, σ2). But here I really don't know how to interpret vector V in normal distribution. I mean if the shape for normal distribution is as follows then what will the shape be for normal distribution with a vector V within it.
And at the end if you have come up with a better explanation for concept behind GEE, I would be really thankful to share it here.