Parameter uncertainty refers to the lack of precise knowledge regarding the values of parameters in a mathematical model, which can significantly impact the accuracy and reliability of the model's predictions. This uncertainty arises from various sources, such as measurement errors, limited data availability, and inherent variability in the systems being modeled. Understanding parameter uncertainty is crucial for effective error analysis and uncertainty quantification, as it helps identify how changes in parameter values can influence the overall results of a model.
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