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However, these models failed to retrieve unbiased parameter estimates indicating a mismatch between model structure and data.
In addition, the effect of data quality, quantified as the error related to plate count measurements, is assessed on the relation between model structure and experimental design.
Our statistical formulation also explicitly considers the uncertainty in model inputs (model parameters, initial conditions), the analytical/sampling error associated with the field data, and the discrepancy between model structure and the natural system dynamics (e.g., missing key ecological processes, erroneous formulations, misspecified forcing functions).
Multiple-criteria optimization is an underutilized technique with interesting applications to detect conflicts between model structure and patterns in the data [44].
However, if the relationship between model structure and data is not well established, the possibility of reference bias needs to be carefully checked.
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The divergence between prior and posterior probability distributions at the model components is used as an indication on the inconsistency between model structure, parameter values, and other information used.
The computer docking simulation was then performed to determine the most plausible binding sites between the model structure and target gases, trimethylamine, ammonia, acetic acid, and o-xylene.
One illustration utilizes the second example, where relative motion between a model structure and a shaking table is measured by digitally processing the analogue image provided by a video tape recorded during a shaking table test of a model structure base isolated by a hybrid isolation device consisting of friction and elastomeric components.
Results: We present ConQuass, a novel quality assessment program based on the consistency between the model structure and the protein's conservation pattern.
MaxSub score [37] between the predicted (model) structure and the native structure is a measure of similarity between 0.0 (no similarity) and 1.0 (perfect similarity).
Almost all observed transitions between states followed pathways consistent with the proposed depression model, suggesting strong congruence between the proposed model structure and the observed data.
Related(20)
between model systems and
between protein structure and
between chromatin structure and
between char structure and
between model development and
between model precision and
between song structure and
between lobe structure and
between model fit and
between isochore structure and
between model output and
between landscape structure and
between model accuracy and
between model outcome and
between processing structure and
between model parsimony and
between brain structure and
between chemical structure and
between capital structure and
between crystal structure and
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Justyna Jupowicz-Kozak
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