Table 6.

Summary validation statistics of predicted utilities (YHAT)

Methods	Observed	OLS	Tobit	CLAD	Simple beta	ZOIB	NMIX 2 components	Piecewise linear with logit component
Mean	0.676	0.676	0.700	0.707	0.694	0.667	0.688	0.654–0.663a
Range	1.319	1.075	1.194	0.872	0.823	0.934	0.917	1.203
SD	0.28	0.22	0.24	0.17	0.191	0.204	0.185	0.26
Median	0.74	0.73	0.76	0.75	0.755	0.698	0.72	0.74
Minimum	−0.319	0.110	−0.174	0.073	0.076	0.001	0.017	−0.203
Maximum	1	0.965	1.021	0.946	0.898	0.935	0.934	1
SEM	0.017	0.016	0.018	0.013	0.015	0.016	0.014	0.019
Lower 95% CI of mean	0.643	0.645	0.674	0.681	0.664	0.637	0.660	0.617
Upper 95% CI of mean	0.709	0.708	0.746	0.733	0.722	0.697	0.714	0.691
Skewness	−1.38	−0.98	−0.98	−0.94	−1.18	−1.16	−0.98	−1.53

The SEM allows us to calculate the 95% confidence interval of the mapped means (CI = mean ± 1.96 SEM) in a hypothetical population

In bold, the best fitting method according to the criterion in question

CI confidence interval, CLAD censored least absolute deviation, OLS ordinary least squares, SD standard deviation, SEM standard error of the mean, ZOIB zero–one inflated beta

^aDepending on the mismatch imputation method used