Table 4.
Method | Estimatea | % Biasb | SDc | RMSEd | SEe | CR(%)f |
---|---|---|---|---|---|---|
FO | 9.99 | −0.1 | 0.304 | 0.304 | 0.303 | 95.4 |
CC | 11.354 | 13.54 | 0.360 | 1.401 | 0.362 | 4.0 |
Wrong working models for δ (a misspecified link function) only | ||||||
CE55 | 9.995 | −0.05 | 0.506 | 0.506 | 0.481 | 96.4 |
SCE55(0.10) | 10.064 | 0.64 | 0.424 | 0.429 | 0.490 | 96.0 |
SCE55(0.25) | 10.056 | 0.56 | 0.416 | 0.420 | 0.483 | 97.0 |
NNMI55(5,0.8,0.2) | 10.12 | 1.2 | 0.395 | 0.413 | 0.394 | 94.0 |
LMI55(0.10,0.10) | 10.067 | 0.67 | 0.404 | 0.410 | 0.421 | 94.2 |
LMI55(0.10,0.25) | 10.071 | 0.71 | 0.409 | 0.415 | 0.409 | 93.8 |
LMI55(0.25,0.10) | 10.081 | 0.81 | 0.420 | 0.428 | 0.422 | 92.6 |
LMI55(0.25,0.25) | 10.086 | 0.86 | 0.405 | 0.414 | 0.403 | 92.2 |
Wrong working model for δ (including a reduced set of predictors and a misspecified link function) only | ||||||
CE53 | 9.986 | −0.14 | 0.367 | 0.367 | 0.370 | 94.6 |
SCE53(0.10) | 10.056 | 0.56 | 0.428 | 0.432 | 0.385 | 91.8 |
SCE53(0.25) | 10.054 | 0.54 | 0.417 | 0.420 | 0.375 | 93.0 |
NNMI53(5,0.8,0.2) | 10.161 | 1.61 | 0.393 | 0.425 | 0.389 | 92.6 |
LMI53(0.10,0.10) | 10.121 | 1.21 | 0.393 | 0.411 | 0.394 | 93.6 |
LMI53(0.10,0.25) | 10.094 | 0.94 | 0.400 | 0.411 | 0.398 | 93.4 |
LMI53(0.25,0.10) | 10.21 | 2.1 | 0.389 | 0.442 | 0.388 | 92.8 |
LMI53(0.25,0.25) | 10.155 | 1.55 | 0.389 | 0.419 | 0.391 | 91.4 |
Wrong working model for both Y (including a reduced set of predictors) and δ (a misspecified link function) | ||||||
CE35 | 9.815 | −1.85 | 0.701 | 0.725 | 0.634 | 95.4 |
SCE35(0.10) | 10.239 | 2.39 | 0.386 | 0.454 | 0.537 | 97.4 |
SCE35(0.25) | 10.099 | 0.99 | 0.410 | 0.422 | 0.531 | 97.8 |
NNMI35(5,0.8,0.2) | 10.299 | 2.99 | 0.385 | 0.487 | 0.380 | 86.6 |
LMI35(0.10,0.10) | 10.136 | 1.36 | 0.389 | 0.412 | 0.411 | 93.8 |
LMI35(0.10,0.25) | 10.221 | 2.21 | 0.386 | 0.445 | 0.390 | 90.2 |
LMI35(0.25,0.10) | 10.112 | 1.12 | 0.411 | 0.426 | 0.418 | 93.4 |
LMI35(0.25,0.25) | 10.171 | 1.71 | 0.394 | 0.430 | 0.399 | 92.4 |
average of the 500 point estimates
100*(estimate- true value)/true value
sample standard deviation of the 500 point estimates
square root of mean-squared-errors
average of the 500 standard error estimates
coverage rate of the 500 95% confidence intervals