Parametric Augmentations and Error Structures under which Certain Simple Least Squares and Analysis of Variance Procedures are Also Best

Abstract

Conditions are presented under which in all linear models with a common specified systematic part every linear simple least squares estimator is also best. The behaviour of mean squares and test ratios in ordinary analysis of variance tables under these and also less stringent conditions is discussed with illustrative examples given.