Sentence examples for model deviations and from inspiring English sources
Among these three problems, model deviations and limited sample sizes are very common in many statistical methods, and are not unique to the statistics of the ALT.
However, the problem of unknown parameters comes from the "censoring," which leads to the correlation between the optimization objective function and the unknown model parameters; this is unique to the optimal ALT plan design, and increases the difficulty in processing the problems of model deviations and limited sample size.
It is shown that the observer is robust against bounded model deviations (both parametric and nonmodeled dynamics).
For the problem of model deviations, Chaloner et al. [20] and Pascual [21, 62, 63, 64] established objective functions containing the effects of model deviation; therefore, they could obtain the optimal plan directly by solving the optimization problems with regard to the model deviations.
Substantial deviations from modeling assumptions will be documented, and models augmented as necessary to account for model deviations.
A graphical comparison of model residuals, effective rainfall estimates and hydrographs was used to determine a model's ability related to systematic model deviation between simulated and observed behaviours and general behavioural differences in the timing and magnitude of peak flows.
To examine the applicability of CAI and EAI, we compared the indices with the other indices such as the sum of toxic unit (STU), model deviation ratio (MDR), and effect residual ratio (ERR) and isobologram approach.
per liter, mg ∑a.s./L) of the three herbicidal combination products with high toxicity and a model deviation ratio (MDR) greater than 100 for acute toxicity to Daphnia or fish (based on the data set "most similar endpoints").
A mean cloud model and deviations from the mean were calculated from the measured data collected by previous entry probes, such as the Soviet Veneras series.
An analysis of the forecasting models using mean absolute deviations and mean squared errors indicated that simple mathematical forecasting techniques provided better predictions of meal demand than did the naı̈Adive method for all sites.
