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The random-effects probit model specification allows for unobserved heterogeneity but it treats the initial conditions as exogenous.
The spatial lag model specification allows the dependent variable (average number of antenatal visits for each village) to be influenced by the average number of antenatal visits of each village's neighbours.
The model specification allows the structure to be expressed in a manner similar to that used in MorphML [35] or CVAPP [36] as a set of connected points, each with a 3D position and radius.
A modular model specification allows for straightforward creation of large-scale models containing many compartments and reactions.
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For example, the most popular tool in the field, NONMEM with the NMTRAN language for model specification, 4 allows users to encode virtually any conceivable modeling scenario in an assignment-based style, which gives great flexibility but also makes standardization difficult.
Furthermore, we found that the introduction of a bistable axon specification allows our model to reproduce many experimental observations.
First, the group-level model, which is based on a slight generalization of Amemiya's (1974) grouped bivariate probit specification, allows for a straightforward application of instrumental variables.
This specification allows limited freedom to choose.
This specification allows for some asymmetry of the seasonal variation.
With this paper, we aim to highlight the importance of system model specifications that allow a quantitative (or at least comparative) evaluation of the dependability properties being sought.
Because the KWII approach does not require model specification, it may allow drug response to be critically analyzed earlier in the development process and could therefore, have a significant impact on the overall modeling strategy for population analysis.
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