| Gaussian SAR | Gaussian spatial filter | binomial spatial filter | |||
---|---|---|---|---|---|---|
Statistic | estimate | se | estimate | se | estimate | se |
Spatial autocorrelation | 0.01 | 0.101 | 1 (spatial filter MC = 0.030) | 0.135 | 6.07 | 4.701 |
intercept | -3.30 | 0.172 | -3.31 | 0.124 | -3.48 | 0.182 |
I0 | 2.63 | 0.491 | 2.62 | 0.323 | -20.01 | 41223 |
approximate dfs | 45 | 39 | 45 | |||
Residual P(S-W) | 0.249 | 0.256 | < 0.0001 | |||
Residual MC | -0.0224 | -0.0753 (zMC = -0.3) | -0.073 | |||
Residual GR | 1.1361 | 1.0788 | 1.088 | |||
deviance | 0.9001 | 0.4686 | 1.0346 | |||
pseudo-R2 | 0.494 | 0.754 | 0.07 | |||
predicted-observed regression slope | 1.31 | 0.72 | 0.87 | |||
HGLM | ||||||
 | proper CAR | spatial filter | ||||
Statistic | estimate | se | estimate | se | Â | Â |
spatial autocorrelation | -0.08 | 0.148 | 0.999 (spatial filter MC = 0.762) | 0.226 | ||
intercept | -3.28 | 0.122 | -2.99 | 0.122 | ||
I0 | -81.63 | 62 | -80.94 | 60 | ||
approximate dfs | 45 | 44 | ||||
residual P(S-W) | <0.0001 | 0.192 | ||||
residual MC | 0.0596 | 0.0130 | ||||
residual GR | 0.9417 | 0.9270 | ||||
deviance | 0.9715 | 0.4992 | ||||
pseudo-R2 | 0.328 | 0.411 | ||||
predicted-observed regression slope | 30.60c | 0.99 |