Several techniques exist to model and analyze uncertainties in model parameters, such as actual data.
Quantitative relationships between traffic flow stability and model parameters (such as traffic flow and speed, etc).
Internal dynamics of aeroelasticity depend on model parameters such as freestream velocity and spring constant.
We design an optional penalty function to reduce the payoff if executives manipulate specified model parameters such as volatility.
The curve sensitivity to different model parameters, such as dimensionless threshold pressure gradient and horizontal wellbore length, is deeply discussed.
The influence and importance of model parameters such as structural stiffness and fluid loading effects are investigated.
The various methods of model space reduction often automatically produce some level of smoothening (homogenization) of the reservoir model parameters such as grid block permeabilities.
Additionally, different instantiations of the model parameters, such as the belief parameter, and the interaction parameter, could be explored in further detail.
Eventually, it would be very interesting, but challenging to consider the uncertainty on other model parameters such as electricity production costs or reservation utility of power plants.
Moreover, it would be very interesting but challenging to consider the uncertainty on other model parameters such as electricity production costs or demand function of the power plants.
The primary concern on all previous models is the difficulty on estimating the model parameters such price and marketing elasticity to demand.
