Table 1. AIC, BIC and P-values of chi square goodness of fit tests for all investigated models.

			Power Law	simple BDIM	solb BDIM	folb BDIM
Adelung	German 18th	AIC	888.02	816.45	804.40	805.91
		BIC	896.28	824.71	815.42	819.68
		Chi2	<10−74	<10−6	0.4865	0.4201
WDG	German 20th	AIC	1084.84	933.90	881.98	882.73
		BIC	1093.58	942.64	893.63	897.30
		Chi2	<10−172	<10−12	0.1901	0.0383
BLL	German 20th	AIC	1248.20	1137.54	1056.08	1057.12
		BIC	1257.35	1146.69	1068.28	1072.37
		Chi2	<10−75	<10−37	0.2549	0.3287
Johnson	English 18th	AIC	727.73	665.38	654.17	653.36
		BIC	735.42	673.07	664.43	666.18
		Chi2	<10−48	<10−15	0.0352	0.0838
Webster	English beg. 20th	AIC	762.28	650.06	643.25	653.36
		BIC	769.97	657.76	653.51	666.18
		Chi2	<10−91	<10−14	0.0156	0.3621
BNCbaby	English end 20th	AIC	897.26	779.25	744.72	744.47
		BIC	905.52	787.51	755.73	758.24
		Chi2	<10−111	<10−6	0.9135	0.7068

For AIC and BIC, lower values mean better fit. In the case of the chi square test, not significant p-values (>0.01) indicate a good fit of the model.Best fitting models are indicated in bold.