Table 2.
Bias of the MLE of θ2 for θ2 = ψ0 under the six choices of (β1, θ1) for n = 100, 000 and K = 6. θ̂2 is the MLE of θ2, E [θ̂2] is the mean of the estimates θ̂2 over the 20, 000 simulation runs and Bias(θ̂2, θ2) = E [θ̂2] − θ2.
β1 | θ1 | θ2 | E [θ̂2] | Bias(θ̂2, θ2) |
---|---|---|---|---|
−2.0 | −2.0 | −0.8 | −0.8006 | −0.0006 |
−0.5 | −0.5 | −0.8 | −0.8006 | −0.0006 |
0.0 | −0.5 | −0.8 | −0.8006 | −0.0006 |
−0.5 | 0.0 | −0.8 | −0.8004 | −0.0004 |
0.5 | −2.0 | −0.8 | −0.8004 | −0.0004 |
2.0 | −2.0 | −0.8 | −0.7992 | 0.0008 |