A Note on Estimability in Linear Models

Estimable functions of the parameters are characterized in terms of generalized inverses. The concept of estimability is applied to data from a designed experiment on varietal trials. We demonstrate in this note that this technique of solving the normal equations is equivalent to the nearest neighbour method for the analysis of unbalanced randomized design.