Sentence examples for model sum of from inspiring English sources
We considered two empirical models in this analysis, the logistic growth model and parallel flow model (sum of exponential terms).
In the process, the actual responses are fitted to the polynomial models by sequential model sum of squares (SMSS) [33, 34].
Following this step, we performed model-based analysis using the parallel flow model (sum of exponential terms), and the logistic growth model.
These validation tests are the sequential model sum of squares (F test), lack-of-fit test and the model summary statistics.
These models can be evaluated on the basis of scores obtained from the sequential model sum of squares (Table 6), and it showed that the quadratic model had a high score.
DOF shows the total number of model terms, including intercept minus one while mean square estimates the model variance, calculated by the model sum of squares divided by model degrees of freedom.
The PCM is suited to model sums of binary responses which are not supposed to be stochastically independent [ 37].
In both cases, the analysis was performed using the previously estimated variance components (Table 1), and F-tests for SNP or haplotype effects were constructed from the difference between model sums of squares including and excluding the fitted SNP or haplotype effects, the difference in number of parameters between the fitted models and the estimated residual variance for the full model.
The kinetic data fitted better to Pseudo second-order, Elovich, fractional power and intraparticle diffusion models and their validity was tested by three statistical models: sum of square error, Chi-square (χ 2) and normalized standard deviation (Δq).
The results were shown in Figures 2 and 3. Models sum of RS% was calculated, which was generally inversely proportional to the coefficient of variance (CV) value.
An F-test was subsequently used to evaluate improvements in the performance of the model (residual sum of squares) relative to changes in model complexity (degrees of freedom) [ 18].
