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Linear probability models (ACS)   37-39 year old women   Model Model Model Model   (1) (2) (3) (4) Mean-cent.

The Euclidean distance function is used only to identify which FGP model (model I, model IIa, and model IIb) offers a better optimal solution.

The null model (model A') is the same as model A, but ω2 = 1 is fixed.

The Akaike Information Criterion (AIC) values indicate that the dominant model is a better-fitting model (Model 5 (AIC = 5627.23) vs. Model 11 (AIC = 5760.38)).

Using these families, heritabilities of 0.26 and 0.23 were estimated on the observed binary scale using two models: Model 1 Animal model; Model 2 Sire-dam model (Table 1).

The Hosmer-Lemeshow test statistic indicated no evidence of poor fit in either model (Model 1 P=0.34, Model 2 P=0.55).

Of these models, model (3) is the main model.

As result, the forecast models (Model B1, Model C1 and Model D1) perform well with normal distribution of around zero error.

This model is aims to examine the exogenous variables as input parameters similar to Model B. In addtion, the ARIMAX model is divided into four models: Model C1, Model C2, Model C3 and Model C4 analogous to Model B. Model D (ARX) is a variation and class of ARIMAX.

The results of both models, Model 1 and Model 2 are presented in the Table 1.

The confirmatory models (model 1 and model 2) were supported by the data (Hypothesis 1).