Experimental Design
Parameter uncertainty refers to the lack of precise knowledge about the true values of parameters in a statistical model or experiment. This uncertainty can arise from various sources, including measurement errors, model assumptions, or inherent variability in the data. In the context of robust optimal designs, understanding and managing parameter uncertainty is crucial for creating designs that remain effective under a range of potential scenarios.
congrats on reading the definition of parameter uncertainty. now let's actually learn it.