Recognizing balance with unbalanced data

This paper considers certain situations where unbalanced data can be treated as surrogate balanced data in solving linear model problems. In these situations, computations may be simplified to a balanced analysis of variance; a simple restructuring of cell frequencies is applied to reduce the dimensions of an A.O.V. data set in handling reduced models. The techniques developed are also useful in determining rank.