A global maximum of the likelihood function doesn’t exist if one allows α ∈ (0, 1], and a local maximum exists with probability tending to one only if α > 1. We propose a penalized likelihood method ...

Maximum likelihood estimation for this class of models leads to a non-convex optimization problem which typically has many local maxima. Using recent results on the asymptotic distribution of extreme ...