Write the log likelihood L for model (XZ, YZ). Calculate L/ and show that it implies

Write the log likelihood L for model (XZ, YZ). Calculate ∂L/∂λ and show that it implies µ̂₊₊₊ = n. Show that ∂L/∂λ_i^X = n_i++ – µ_i++. Similarly, differentiate with respect to each parameter to obtain likelihood equations. Show (8.23) and (8.24) imply the other equations, so those equations determine the ML estimates.