Experimental Design
Model uncertainty refers to the lack of certainty regarding the correct model to describe a given phenomenon or process. It highlights the idea that different models can yield varying results, which can impact decision-making and predictions. Understanding model uncertainty is crucial, especially when designing experiments or making inferences based on data, as it informs researchers about the reliability and robustness of their findings.
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