Table B.3.
Bias and mean squared error (MSE) in estimating β1 and the similarity of to the average of πij (denoted as ) and the standard error (SE), for j = 2, 4, when each covariance matrix has a unique eigenspace. Data dimension p = 20, sample size n = 100 and Ti = T = 100.
Truth | Bias | MSE | (SE) | |
---|---|---|---|---|
D2 | −1 | 0.980 | 0.971 | 0.915 (0.031) |
D4 | 1 | −0.523 | 0.293 | 0.571 (0.060) |