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However, although simple logistic models require relatively few observations, they do not often fit with observations well [ 4].
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The model requires relatively little CPU time.
The IO model requires relatively less data and can comprehensively trace interaction among different sectors of an economy.
This recommended design model requires relatively less calculation efforts, and provides less scattered predictions than those using the current design rules.
Integrating two new reactions into the model required relatively little compared to the time and costs involved in generating and maintaining transgenic or cross-bred animals.
A major practical obstacle that we needed to overcome was that the drift diffusion model requires relatively many observations to produce informative parameter estimates; as a rule of thumb, the model requires at least 10 error RTs in each experimental condition.
The solution algorithms do not generate more complicated intermediate models but require relatively low computational effort.
In addition, such models require a relatively small amount of information.
For example, households may require relatively high rates of return for energy efficiency investments, which leads to lower investments in real markets than those levels predicted by models.
Demographic and case-mix differences between units are common problems which require relatively complex statistical models and rich datasets to properly address.
Regulatory respondents on the other hand assign slightly less concern to the scientific validity of models, while requiring relatively more understanding of appropriate applications in view of REACH.
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