Figure 1.

Absolute bias of ψ̂₁₀ as sample size varies at and near exceptional laws. In each figure, one of ψ₂₀, ψ₂₁, ψ₂₂, ψ₂₃ is varied while the remaining are fixed at −3.0, 2.0, 1.0, or 0.0, respectively. Note that there are several combinations of parameters that lead to exceptional laws: as well as (−3.0, 2.0, 1.0, 0.0) with p(A₁ = L₂ = 1) > 0, exceptional laws occur with (−2.0, 2.0, 1.0, 0.0) and (−3.0, 3.0, 1.0, 0.0) if p(A₁ = 0, L₂ = 1) > 0.