Table 5.

Summary results for spatial and nonspatial logistic regressions. Results include point and variance estimates for regression coefficients, and misclassification rates (MR)

	Real data		h = 1		h = 5		h = 10
	Q	$\sqrt{\mathit{T}}$	q̄5	$\sqrt{{\mathit{T}}_{\mathbf{5}}}$	q̄5	$\sqrt{{\mathit{T}}_{\mathbf{5}}}$	q̄5	$\sqrt{{\mathit{T}}_{\mathbf{5}}}$
Nonspatial GLM
Intercept	−0.85	0.18	−0.76	0.21	−0.71	0.20	−0.67	0.19
Sex	0.60	0.08	0.61	0.09	0.61	0.09	0.61	0.08
Race	0.59	0.09	0.48	0.18	0.48	0.13	0.42	0.11
Age × 100	0.52	0.24	0.43	0.27	0.36	0.28	0.34	0.26
	MR		MR		MR		MR
In-sample	0.42		0.42		0.42		0.42
Out-of-sample	0.46		0.47		0.47		0.47
Spatial GLM
Intercept	−1.15	0.43	−0.91	0.37	−0.83	0.44	−0.97	0.33
Sex	0.74	0.10	0.64	0.09	0.67	0.09	0.68	0.10
Race	0.82	0.12	0.62	0.23	0.61	0.15	0.56	0.13
Age × 100	0.68	0.25	0.65	0.31	0.48	0.28	0.53	0.28
${\sigma }_e^2$	1.83	0.96	1.82	1.20	1.31	0.73	1.13	0.53
φe	0.05	0.02	0.06	0.02	0.06	0.01	0.06	0.01
	MR		MR		MR		MR
In-sample	0.22		0.26		0.25		0.27
Out-of-sample	0.32		0.35		0.31		0.32