Transformation diagnostics for linear models

Abstract

An approximate transformation model is used to present an integrated development of tests for transformable deviations from a normal-theory linear model. Particular emphasis is placed on Tukey's test for transformable nonadditivity and its relation to tests for variance heteroscedasticity and error skewness. Numerical illustrations of the tests are given.