Figure 2.

Lack of bias of ψ̂₁₀ for large samples (n ≥ 250) for non-exceptional laws. In each figure, one of ψ₂₀, ψ₂₁, ψ₂₂, ψ₂₃ is varied while the other three parameters are fixed at −3.0, 2.0, 1.0, or 0.0, respectively. L₂ is continuous Normal so that p(A₁ = L₂ = 1) = p(A₁ = 0, L₂ = 1) = 0 and its coefficient in the blip function is sufficiently far from zero that no optimal rules appear to be non-unique in samples of size 200 or greater.