Predicting Wet-Road Crashes Using the Finite-Mixture Zero-Truncated Negative Binomial Model

Table 4

Prediction comparison between ZTNB and FMZTNB models (three example sites).

Site number (level)	ZTNB			FMZTNB-2
	Prediction	Std. err.	90% PI	Prediction	Std. err.	90% PI
138 (low)	0.0040	0.0636	[0.0036–0.0046]	0.0005	0.0007	[0.0005–0.0005]
90 (moderate)	0.0654	0.2608	[0.0392–0.109]	0.0627	0.0449	[0.0574–0.0684]
65 (high)	0.7350	1.0341	[0.0968–5.5788]	0.7625	0.5903	[0.2398–2.425]

Note. Std. err. = standard error. PI = prediction interval.