Table 3.

Bias of the MLE of θ₃ for both θ₃ and ψ₁ under the six choices of (β₁, θ₁) for n = 100, 000 and K = 6. θ̂₃ is the MLE of θ₃, E [θ̂₃] is the mean of the estimates θ̂₃ over the 20, 000 simulation runs, Bias(θ̂₃, θ₃) = E [θ̂₃] − θ₃ and Bias(θ̂₃, ψ₁) = E [θ̂₃] − ψ₁.

β1	θ1	E [θ̂3]	θ3	Bias(θ̂3, θ3)	ψ1	Bias(θ̂3, ψ1)
−2.0	−2.0	0.0008	0	0.0008	0.4574	−0.4566
−0.5	−0.5	−0.0005	0	−0.0005	0.0583	−0.0588
0.0	−0.5	−0.0007	0	−0.0007	0	−0.0007
−0.5	0.0	−0.0006	0	−0.0006	0	−0.0006
0.5	−2.0	−0.0013	0	−0.0013	−0.2064	0.2051
2.0	−2.0	−0.0060	0	−0.0060	−0.8676	0.8616