Maximum prediction variance refers to the highest possible variance of predicted values from a statistical model, indicating the potential for the greatest deviation between observed and predicted outcomes. This concept is crucial in understanding how different design criteria can optimize the efficiency and accuracy of predictions made by an experimental design, particularly in relation to various optimality criteria.
congrats on reading the definition of maximum prediction variance. now let's actually learn it.