Comparison of a class of regression equations

The method described in this paper offers a means of comparing linear regression equations with many parameters by utilizing joint parameter confidence regions. It is useful when comparing sets of data in which each set is represented by a similar regression equation. The method consists of establishing a full-rank linear model with the data sets to be considered and then testing hypotheses concerning parameters of the model. It is conveniently expressed in matrix algebra form and is amenable to computer analysis.