. 2016 Jul 14;39(3):380–391. doi: 10.1590/1678-4685-GMB-2015-0206

Table 2. Statistical criteria used to evaluate the goodness of fit of three nonlinear models in fitting the data from Lueyang and Nick Chick chickens^a .

Groups	Models	AIC	MSE	R²	MME
NC	Segmented polynomial	−6491.4	0.0219	0.968	−0.00124
	Yang	−6493.9	0.0219	0.967	0.0393
	Persistency	−6489.6	0.0219	0.968	−0.0116
LY	Segmented polynomial	−22892.2	0.0748	0.663	−0.119
	Yang	−22906.5	0.0747	0.663	−0.110
	Persistency	−22893.2	0.0748	0.663	−0.127
ATAATA(A/C)T	Segmented polynomial	−2674.7	0.0646	0.758	−0.114
	Yang	−2678.9	0.0644	0.759	−0.0965
	Persistency	−2672.4	0.0647	0.758	−0.116
GGAACACT	Segmented polynomial	−5356.7	0.0735	0.684	−0.104
	Yang	−5356.7	0.0734	0.684	−0.0716
	Persistency	−5354.7	0.0734	0.684	−0.100
GGGGCGCC	Segmented polynomial	−6283.3	0.0747	0.649	−0.115
	Yang	−6285.9	0.0746	0.649	−0.101
	Persistency	−6281.3	0.0746	0.649	−0.123
GTA(A/G)TACT	Segmented polynomial	−4361.6	0.0761	0.629	−0.102
	Yang	−4366.9	0.0759	0.629	−0.0958
	Persistency	−4359.6	0.0761	0.628	−0.101

AIC – Akaike's information criterion, MSE – mean square error, R² – coefficient of determination, MME – mean model error.

Table 2. Statistical criteria used to evaluate the goodness of fit of three nonlinear models in fitting the data from Lueyang and Nick Chick chickensa .