I am trying to understand the concept of an overparametrized model:
If I am considering a one way model:
$$Y_{jk}=\mu + \alpha_j + \epsilon_{jk}$$
Where $\epsilon_{jk}\sim N(0, \sigma^2)$.
Why is this model considered overparametrized and has no solutions, when estimating the maximum likelihood values.