Summary results of goodness of fit
criteria for data mining algorithms tested for estimating CCW trait are given in Table I.
Comparison of multiple linear regression and artificial neural network models goodness of fit
to lactation milk yields.
Goodness of fit
statistics obtained from the growth models applied to the experimental data set of birds.
Each distribution has been fitted to both of our data sets and goodness of fit
criteria is calculated including log-likelihood value as well as chi- square, SSE and SAE values.
Significant tests and goodness of fit
in the analysis of covariance structures, Psychological Bulletin 88: 588-606.
Goodness of Fit
Indexes for Analyzed Models Index Verbal-Manipulative 2-Factor 2-factor GAI [chi square] 74.
The results of goodness of fit
in Gompertz and Logistic growth curve models for female and male broilers of GBJA S757 genotype are presented in Table5.
The goodness of fit
curves for all the four segments are illustrated in Figures 1(a)-1(d), 2(a)-2(d) and 3(a)-3(d).
Chi-squared goodness of fit
tests with applications.
To realize how strong and accurate the relations in table 2 are, goodness of fit
indexes and mean squared error (MSE) is employed.
Two additional descriptive measures of goodness of fit
presented in Table 3 are R2 indices, defined by Cox and Snell (1989) and Nagelkerke (1991), respectively.
Adequate support was found for the hypothesized model in terms of fit statistics: Normed Fit Index (Bentler & Bonett, 1980); Bentler-Bonett Nonnormed Fit Index (Bentler & Bonett, 1980); Comparative Fit Index (Bentler, 1990); Incremental Fit Index (Bollen, 1989); Goodness of Fit
Index (Joreskog & Sorbom, 1988); Adjusted Goodness of Fit
Index (Joreskog & Sorbom); or Root Mean Square Error of Approximation (Steiger, 1990).