Table 5:

Unweighted sum of squares and χ² statistics. Asymptotic expected value of USS is Σp_i(1 − p_i). Asymptotic expected value of χ² is number of observations (N = 1272). (A): $\mathit{\text{USS}}-\sum {\widehat{p}}_i\left(1-{\widehat{p}}_i\right)$, for first order marginal probabilities, for five methods. (B): $\mathit{\text{USS}}-\sum {\widehat{p}}_i\left(1-{\widehat{p}}_i\right)$ divided by bootstrap estimate of SE(USS). (C): χ² − N, for first order marginal probabilities, for five methods. (D): χ² − N divided by bootstrap estimate of SE(χ²).

(A)
	KD	HT	Di
MVP	−23.742	38.927	1.7579
MVTL	−83.813	2.5849	−12.093
CSLR	3.295	6.2083	5.8401
CSLR.3OI	3.42	5.8618	4.6413
UV	−0.36014	2.6474	2.8614
(B)
	KD	HT	Di
MVP	−3.474	5.642	0.3316
MVTL	−14.97	0.5443	−3.227
CSLR	0.466	0.8885	0.7952
CSLR.3OI	0.4832	0.8411	0.6322
UV	−0.05116	0.3868	0.3986
(C)
	KD	HT	Di
MVP	−49.105	270.87	11.257
MVTL	−664.5	10.426	−56.039
CSLR	150.66	−40.803	−62.308
CSLRR.3OI	141.77	−43.706	−67.28
UV	8.654	−74.118	−95.641
(D)
	KD	HT	Di
MVP	−0.2416	5.143	0.3789
MVTL	−13.14	0.4505	−3.304
CSLR	0.681	−0.7345	−1.013
CSLR.3OI	0.6509	−0.7927	−1.101
UV	0.04562	−1.48	−1.699