In practice, statistical prediction models have often been developed without separating the data used for model development from the data used for estimation of prediction accuracy [ 1].
Reporting was found to be poor, with insufficient information described in all aspects of model development, from descriptions of patient data to statistical modeling methods.
Past work includes model development from physical principles and optimal design of operational practices.
Detailed mathematical model development from individual components to the integration of whole system are described.
3D FEM model development from the 3D scanning results were carried out in order to investigate the failure process and local effects on the pits, which are responsible of the variation of the mechanical properties in corroded steel reinforcement.
The coincidence of predicted to actual soil loss from farmer-managed plots, based largely upon model development from researcher-managed plots, and the acute awareness instilled amongst farmer cooperators of the magnitude of soil loss, strengthen the argument for farmer participatory research.
The Integrated Assessment Modelling (IAM) community is reacting to this interest by extending the application of model development from pure scientific analysis towards application in decision making or policy context by giving tools a higher capability for analysis targeted at non-experts, but intelligent users.
In a reactor design case study, the model testbed was used from earliest model development for the determination of flexible and controllable design of the reactor.
This patient group is distinct from those used for model development and from those in the meta-data set analysis.
The model development starts from the governing PDE [35, 36] that describes the charge redistribution dynamics under external electrical field, electrostatic interactions, ionic diffusion, and ionic migration along the thickness direction.
