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Results suggest a large uncertainty in the predicted storage ratio, given the uncertainties in model parameters and modeling choices: the SR varies from 5 60% (end of injection) to 18 100% (end of monitoring), although its variation among the model families due to different modeling choices is relatively minor.
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Both artists and models say that modeling choices are key to the creative process.
These basic modeling choices are not uncontroversial, but such issues are not our concern in this entry.
However, we recommend that before a BBDR model is used to set human exposure standards, the underlying assumptions, the choice of data, and the modeling choices be examined very carefully in view of the limitations of such models discussed here.
The different impacts across modeling choices are magnified to a greater or lesser degree by study choice (i.e., by C R function) [see Supplemental Material, Figure S2 (http://dx.doi.org/10.1289/ehp.1104271)].
The main hypothesis and modelling choices are presented and results are illustrated by a series of computations on real 3D structures.
The influence of several modelling choices were investigated by comparing such results as loadcarrying capacity, load-deflection response and crack pattern from the FE analyses with available experimental data.
Specific modelling choices are the beta-binomial distribution for the response variable, and a parametric distribution for the random change point combined with non-parametric distribution for random intercept and slope parameters.
For zero-inflated and over dispersed data a frequent modeling choice is the Zero-Inflated Negative Binomial (ZINB) model.
Some good model choices are proposed and explored.
Additionally, the evaluation criteria to assess the number of statistically accurate model choices are defined.
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