Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Usually it does not matter what contrast(s) you use for factors in linear model problems[^20], so you can choose appropriate contrast(s) so that your problem is most …
The prediction error is a trade-off of bias and variance. In statistics, we often talk about unbiased estimators (especially in linear regression). In this case we restrict the estimators/predictors to be in a (small) class, and find the optimal solution in this class (called BLUE or BLUP).
Generally speaking …