Sentence examples for improvements of models from inspiring English sources
Hence, calculating the likelihood of the improvements of models of state space (8) does not create difficulties, and so is achieving the maximum likelihood estimates: {G}_L^left vartheta; {a}_0right)=n log left({displaystyle sum_{t=1}^n}{epsilon}_tright)+2{displaystyle sum_{t=1}^n} log left|Rleft({a}_{t-1}right)right|.
Therefore, further improvements of model description of the low-latitude F2 layer are desirable.
GWR models make great improvements of model performance over OLS models, which is proved by F-test and comparisons of model R2 and corrected Akaike Information Criterion (AICc) from both GWR and OLS.
Because of the limited PK data at 540 mg (n = 4), nonlinear absorption models with various mathematical permutations did not show improvements of model fitting nor reliable estimates of absorption parameters.
The burner, as well as the classification of the spray introduced here, while complex, can form a platform for the improvement of models for moderately dense reacting sprays.
A specific effort was dedicated to the improvement of models for the calculation of equipment damage probability in these accident scenarios.
The consistency of the improvement of models based on fractional order differential structure has had increased reputation in the research of dynamical systems [9 11].
Generating new theories is among the roles predictive analytics is expected to play (see above), achieved through the development or improvement of models.
In relation to design optimization it could be a better choice to accept lower sampling intensities and resulting higher standard errors and invest into the improvement of models and functions.
Such analyses are especially powerful when considerable substantive information is available from the literature, so that selection and improvement of models can be carried out based on such knowledge in combination with statistical information.
The comparative study based on a better quantification of the accuracy and precision of hydrological modelling predictions yields a better understanding for the potential improvement of model deficiencies.
